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The Julia Programming Language

Flux - The Elegant Machine Learning Library for Julia

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Explore Flux, an intuitive machine learning library for Julia, featuring state-of-the-art performance, automatic differentiation, and innovative compiler technology for efficient and flexible ML development.
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30 Lesons
30 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps with MLFlow: Comparing Microsoft Phi3 Mini 128k in GGUF, MLFlow, and ONNX Formats

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Explora el modelo Phi3 Mini 128k en formatos MLFlow, GGUF y ONNX. Compara rendimiento y precisión en diferentes configuraciones. Aprende a implementar y optimizar modelos de lenguaje para diversas plataformas.
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1 Lesons
51 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Visual Studio Code AI Toolkit Introduction - Data Science and Machine Learning

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Explora el Visual Studio Code AI Toolkit con ejemplos prácticos en Python y C# para inferencia en CPU usando el modelo Phi 3 4K Instruct cuantizado.
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1 Lesons
20 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOPS: Inferencia ViVIT ONNX Model en Azure ML Managed EndPoint (AKS)

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Implementa inferencia de ViViT en Azure ML usando ONNX y AKS para optimizar el rendimiento de modelos de visión por computadora.
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1 Lesons
1 hour
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Converting Video Classifier (ViViT) to ONNX for CPU Inference

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Convierte un Video Vision Transformer a formato ONNX y realiza inferencia en CPU, optimizando el rendimiento del modelo de clasificación de videos.
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1 Lesons
24 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Comparación de Openvino, ONNX, TensorRT y Pytorch para Inferencia

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Compara el rendimiento de inferencia de modelos convertidos a ONNX, OpenVino y TensorRT frente a PyTorch nativo en GPU y CPU.
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1 Lesons
39 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Inferencia en CPU con Microsoft Florence 2 ONNX en C# - LLMOPs

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Aprende a realizar inferencia en CPU con el modelo Florence 2 Large en formato ONNX utilizando C#. Explora técnicas avanzadas de machine learning y ciencia de datos.
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1 Lesons
39 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOPS: Inferencia de Modelo VIT ONNX en Azure ML Managed Endpoint - Español

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Aprende a realizar inferencia en Azure Kubernetes Services utilizando un modelo Vision Transformer convertido a ONNX con Azure Machine Learning Studio y Python SDK v2.
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1 Lesons
57 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOPS: Inferencia de Modelo ONNX en Azure ML Managed Endpoint AKS

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Aprende a realizar inferencia en Azure Kubernetes Services utilizando un modelo ONNX y onnxruntime, creando un Managed Endpoint con Python SDK v2.
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1 Lesons
51 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOPS: Object Detection con Faster RCNN en C# Formato ONNX en CPU

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Desarrolla una aplicación de detección de objetos en C# utilizando Fast RCNN, ONNX y CPU para inferencia eficiente.
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1 Lesons
24 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Microsoft AI: Semantic Kernel C# SDK Chatting with Phi3 4K ONNX on CPU

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Crea un chatbot con Microsoft Phi3 4K ONNX en CPU utilizando Semantic Kernel y C#. Aprende a implementar modelos de lenguaje avanzados en aplicaciones prácticas.
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1 Lesons
31 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOPs: Inferencia en CPU con Phi3 Vision 128k Instruct - ONNX 4bits en C#

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Aprende a realizar inferencia en CPU con Phi 3 Vision 128K Instruct, utilizando modelos ONNX de 4 bits y C# para prompts multimodales eficientes.
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1 Lesons
26 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOPs - Inferencia en CPU con Phi3 4k Instruct ONNX 4bits en C#

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Aprende a realizar inferencia en CPU con Phi 3 4K Instruct cuantizado a 4 bits en ONNX usando C#, optimizando el rendimiento de modelos de lenguaje.
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1 Lesons
24 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Inferencia de Clasificador ViT Fine-Tuned en CPU con C#

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Aprende a realizar inferencia en C# con un Vision Transformer personalizado en formato ONNX utilizando CPU para clasificación de imágenes.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Converting Fine-Tuned ViT Classifier to ONNX for CPU Inference

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Convierte un Vision Transformer personalizado a ONNX y realiza inferencia en CPU, optimizando el rendimiento del modelo de clasificación de imágenes.
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1 Lesons
28 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Converting BERT to ONNX and Inference with BERTTokenizer for C# - Machine Learning and Data Science

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Convierte modelos Bert a ONNX y realiza inferencia con BERTTokenizer en C#. Aprende a implementar aplicaciones prácticas de machine learning.
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1 Lesons
31 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning ViT Classifier for Retina Images and Converting to ONNX Format - Part 3

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Personaliza un Vision Transformer con tu dataset de imágenes de retina y conviértelo a formato ONNX para optimizar el rendimiento y la portabilidad.
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1 Lesons
11 minutes
On-Demand
Free-Video
PyCon US

Building FPGA-based Machine Learning Accelerators in Python

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Explore building ML accelerators on affordable FPGAs using Python-based tools. Learn about open-source and proprietary options for FPGA development and the broader silicon landscape.
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1 Lesons
34 minutes
On-Demand
Free-Video
PyCon US

Building FPGA-based Machine Learning Accelerators in Python

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Explore building affordable FPGA-based ML accelerators using Python tools like PyTorch, ONNX, Migen, and LiteX. Learn about open-source silicon and vendor tools for cost-effective hardware development.
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1 Lesons
34 minutes
On-Demand
Free-Video
Databricks

Productionizing Machine Learning with Apache Spark, MLflow and ONNX - Cloud Deployment Using SQL Server

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Explore productionizing machine learning using Apache Spark, MLflow, and ONNX with SQL Server. Learn model management, lifecycle orchestration, and leveraging SQL Server for ML model storage and deployment.
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5 Lesons
26 minutes
On-Demand
Free-Video
Linux Foundation

Bringing the Power of ONNX to Apache Spark - Integrating Deep Learning Inference

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Explore integrating ONNX with Spark for efficient deep learning inference pipelines. Learn about Ascend Hardware Platform's ONNX contributions and Spark community's simplified API for DL inferencing.
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1 Lesons
28 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Comparing Microsoft Phi3 Mini 128k in GGUF, MLFlow, and ONNX Formats

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Explore Microsoft Phi3 Mini 128k model: compare inference time and precision across MLFlow, GGUF, and ONNX formats. Learn quantization techniques and performance optimization for various platforms.
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12 Lesons
45 minutes
On-Demand
Free-Video
Linux Foundation

Open Source Powered Real-Time Fraud Analysis in a Hybrid Cloud Environment

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Explore real-time fraud analysis using open-source and closed-source solutions in a hybrid cloud environment, focusing on credit card fraud detection, AI model training, and deployment strategies.
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27 Lesons
35 minutes
On-Demand
Free-Video
Linux Foundation

Bringing AI to the Heterogeneous Edge with WebAssembly and ONNX

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Explore deploying AI workloads to edge devices using WebAssembly and ONNX, addressing challenges of heterogeneous environments, security, and resource constraints in a multiplatform development approach.
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1 Lesons
33 minutes
On-Demand
Free-Video
Prodramp

A Deep Dive into Machine Learning and MLOps Pipeline with Model Registry and Feature Store

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Explore key components of modern ML pipelines: AutoML, observability, model registry, transformation, and feature store. Learn to build scalable, reliable MLOps systems for enterprise-level machine learning.
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15 Lesons
58 minutes
On-Demand
Free-Video
Databricks

Improving the Life of Data Scientists - Automating ML Lifecycle through MLflow

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Explore Flock, an end-to-end platform leveraging MLflow to automate and simplify enterprise-grade machine learning, enhancing data scientist productivity and addressing regulatory challenges in ML adoption.
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17 Lesons
36 minutes
On-Demand
Free-Video
Abhishek Thakur

How to Convert Almost Any PyTorch Model to ONNX and Serve It Using Flask

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Learn to convert PyTorch models to ONNX format and deploy them using Flask, focusing on a BERT sentiment model. Gain practical skills in model conversion and API development.
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7 Lesons
27 minutes
On-Demand
Free-Video
Linux Foundation

Machine Learning in Fastly's Compute@Edge

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Explore WebAssembly modules for efficient ML model execution in Fastly's Compute@Edge, covering wasi-nn extensions, host API revisions, and KServe protocol integration for enhanced performance.
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1 Lesons
26 minutes
On-Demand
Free-Video
Linux Foundation

Compare, Contrast, Contribute: Model Deployment Standards and How You Can Help

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Explore ML model deployment standards like PMML, PFA, and ONNX. Learn their features, use cases, and how to contribute to open-source initiatives advancing AI/ML interoperability.
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18 Lesons
36 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Converting Fine-Tuned ViT Classifier to ONNX for CPU Inference

0 rewiews
Convert a fine-tuned ViT Transformer to ONNX format and perform CPU inference, enhancing model portability and efficiency for custom image classification tasks.
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1 Lesons
22 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: C# Image Recognition with ResNet50v2 Model

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Implement image recognition using ResNet50v2 in C# with ONNX and SixLabors.ImageSharp for efficient MLOps workflows.
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1 Lesons
24 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Converting BERT to ONNX and Inference with BERTTokenizer for C# - Machine Learning and Data Science

0 rewiews
Convert Bert model to ONNX format and create a C# app using BERTTokenizer for inference with ONNX transformer models.
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1 Lesons
30 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Comparison of OpenVino, ONNX, TensorRT, and PyTorch Inference

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Explore model conversion to ONNX, OpenVino, and Tensor-RT formats for optimized CPU and GPU inference, comparing performance against native PyTorch.
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1 Lesons
40 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Object Detection with Faster R-CNN in C# Using ONNX on CPU

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Implement object detection using Faster R-CNN in C# with ONNX format on CPU, leveraging machine learning for efficient image analysis.
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1 Lesons
27 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Microsoft AI: Semantic Kernel C# SDK Chatting with Phi3 4k ONNX CPU - Machine Learning and Data Science

0 rewiews
Develop a ChatBot using Phi3 Mini 4k Instruct ONNX model with Semantic Kernel C# SDK, integrating custom services for machine learning applications.
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1 Lesons
26 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOPs: Multimodal Prompting and Inference with Phi-3 Vision 128K Instruct on CPU - ONNX 4-Bit Quantization in C#

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Explore multimodal prompting and CPU inference using Phi 3 Vision 128K Instruct, quantized to 4 bits in ONNX format, with C# implementation for efficient machine learning operations.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOPs - Inference in CPU with Phi3 4k Instruct ONNX 4-bit Model Using C#

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Explore CPU-based inference using 4-bit quantized Phi 3 4K Instruct in ONNX format with C#. Learn practical implementation for efficient machine learning deployment.
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1 Lesons
24 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Converting Video Classifier (ViViT) to ONNX and Inference on CPU

0 rewiews
Convert a Video Vision Transformer to ONNX format and perform CPU inference, enhancing model portability and deployment flexibility for video classification tasks.
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1 Lesons
32 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning ViT Classifier with Retina Images and Converting to ONNX - Video 3

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Fine-tune a Vision Transformer for diabetic retinopathy detection using EyeQ dataset and convert the model to ONNX format for efficient deployment.
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1 Lesons
12 minutes
On-Demand
Free-Video
OpenSSF

Secure AI Orchestration: Mitigating Model-centric Attacks with Flyte

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Discover how to protect AI systems from model-centric attacks, focusing on code injection and LLM vulnerabilities, while implementing security measures using Flyte orchestration and open-source tools.
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1 Lesons
27 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Inference of Fine-Tuned ViT Classifier on CPU with C#

0 rewiews
Perform CPU inference on a fine-tuned Vision Transformer using C# and ONNX format for efficient image classification in machine learning projects.
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1 Lesons
21 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Microsoft AI: Visual Studio Code AI Toolkit Introduction for Data Science and Machine Learning

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Explore Visual Studio Code AI Toolkit with hands-on examples in Python and C#, focusing on CPU inference using the Phi 3 4K Instruct model in ONNX format.
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1 Lesons
22 minutes
On-Demand
Free-Video
NDC Conferences

Making Neural Networks Run in Browser With ONNX

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Explore ONNX format for deploying machine learning models to edge devices, including training, conversion, and deployment using high-performance JavaScript runtime.
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1 Lesons
51 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Extending PyTorch for Custom Compiler Targets - Accelerator Hardware Integration

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Discover how to annotate PyTorch code with custom metadata for optimizing model inference on specialized hardware accelerators, focusing on LPU deployment and performance enhancement.
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1 Lesons
31 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Open Source Privacy Preserving Inference in Medical Imaging

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Explore privacy-preserving machine learning in healthcare, focusing on secure prediction-as-a-service and model testing. Learn about CrypTFlow, a system for compiling TensorFlow/ONNX to secure computation protocols.
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1 Lesons
56 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Inference ONNX Model in Azure ML Managed Endpoint AKS

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Deploy ONNX models to Azure ML Managed Endpoints (AKS) for efficient inference. Learn step-by-step process using Python SDK v2 to optimize machine learning operations.
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1 Lesons
41 minutes
On-Demand
Free-Video
The Machine Learning Engineer

CPU Inference with ViT ONNX Model in Azure ML Managed Endpoint - AKS

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Deploy a Vision Transformer model for CPU inference on Azure Kubernetes Service using ONNX format and Azure ML SDK v2. Learn to create managed endpoints in Azure ML Studio.
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1 Lesons
49 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOPS: Inference ViVIT ONNX Model in Azure ML Managed Endpoint (AKS)

0 rewiews
Aprenda a implementar un modelo ViViT en ONNX para inferencia en CPU utilizando Azure Kubernetes Services y onnxruntime con Python SDK v2.
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1 Lesons
56 minutes
On-Demand
Free-Video
ADC - Audio Developer Conference

Inference Engines and Audio - Machine Learning in Audio Applications

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Explore inference pipelines in machine learning for audio applications, including common engines, their functionality, and creating custom solutions for platforms like Cmajor.
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1 Lesons
31 minutes
On-Demand
Free-Video
IIIA Hub

Tensor Query Processing - Accelerating Database Analytics with AI Hardware

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Discover how Microsoft's framework compiles SQL to tensor abstractions, enabling efficient database analytics on GPUs and exploring the fusion of SQL with machine learning capabilities.
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1 Lesons
1 hour 9 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Converting T5 Large Models to ONNX Format and 8-bit Quantization with MLflow and Optimum

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Master model optimization techniques by converting T5 Large to ONNX format and implementing 8INT quantization using Hugging Face Transformers Optimum, with MLflow integration for text summarization tasks.
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1 Lesons
48 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps with MLFlow: Evaluating and Quantizing Fine-Tuned LLM Models

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Discover how to evaluate fine-tuned LLMs using MLflow, convert models to ONNX format, and implement INT8 quantization for optimized performance and deployment.
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1 Lesons
57 minutes
On-Demand
Free-Video