PyTorch Tutorials 神经网络 教学
深入探讨PyTorch神经网络：从基础概念到高级应用，涵盖CNN、RNN、自编码器、强化学习和GAN，并讲解优化技巧如批标准化和过拟合处理。
모두를 위한 딥러닝 - PyTorch
PyTorch를 활용한 딥러닝 기초부터 고급 기술까지 실습 중심으로 학습. 텐서 조작, 선형 회귀, CNN, RNN 등 다양한 모델 구현 및 최적화 기법 습득.
PyTorch
PyTorch ile derin öğrenme: Temel kavramlardan CNN'lere kadar kapsamlı bir eğitim. Yapay sinir ağları, lineer regresyon, aktivasyon fonksiyonları ve optimizasyon teknikleri üzerine uygulamalı dersler.
Develop, Build and Deploy Lightweight AI Services with WebAssembly
使用WebAssembly开发轻量级AI服务,实现高效推理。学习创建PyTorch和TensorFlow函数,扩展大语言模型,以及使用K8s等工具进行部署。
VeScale - A PyTorch Native LLM Training Framework for Automatic Parallelism
探索PyTorch原生框架veScale,实现大规模语言模型的自动并行训练。结合易用性和性能,助力开发者高效扩展LLM训练,无需复杂并行编程。
MLOps MLflow: Deep Learning Frameworks PyTorch and TensorFlow in MLflow - Spanish
Aprende a integrar Tensorflow y Pytorch con MLflow para optimizar tus proyectos de Deep Learning y mejorar el seguimiento de experimentos.
Instalar PyTorch en Raspberry Pi con Miniconda - Tutorial
Instala PyTorch en Raspberry Pi 5 con Miniconda, configura el entorno y verifica su funcionamiento mediante SSH para proyectos de machine learning.
LLMOps: Como usar Nvidia TensorRT SDK para Inferencia en GPU
Optimiza la inferencia en GPU con Nvidia TensorRT SDK, convirtiendo modelos y comparando tiempos de ejecución en diferentes precisiones de datos.
LLMOps: Comparación de Openvino, ONNX, TensorRT y Pytorch para Inferencia
Compara el rendimiento de inferencia de modelos convertidos a ONNX, OpenVino y TensorRT frente a PyTorch nativo en GPU y CPU.
The Hidden Dangers of Loading Open-Source AI Models
Explore the security risks of loading open-source AI models, including potential arbitrary code execution. Learn about pickle exploits and how to protect yourself when using Hugging Face models.
Planning and Control
Explore state transition equations, numerical examples, and PyTorch implementations for optimal control in planning and control systems, with a focus on the Kelley-Bryson algorithm and cost considerations.
Extracting Mel Spectrograms with Pytorch and Torchaudio
Master Mel Spectrogram extraction using PyTorch and torchaudio. Learn key audio transformations, resampling techniques, and practical implementation for audio processing tasks.
Building FPGA-based Machine Learning Accelerators in Python
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.
Real-Time Inference of Neural Networks: A Guide for DSP Engineers
Explore real-time neural network inference for DSP engineers. Learn practical steps, compare inference engines, and balance latency, performance, and stability in audio plugin development.
Building FPGA-based Machine Learning Accelerators in Python
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.
ShellTorch - The Next Evolution in *4Shell Executions
Uncover ShellTorch vulnerabilities in TorchServe, enabling remote code execution and AI model manipulation. Learn about the high-severity exploit's impact on PyTorch ecosystem and essential mitigation strategies.
Neutone - Real-time AI Audio Plugin for DAWs
Explore real-time AI audio processing with Neutone plugin. Learn to integrate deep learning models into DAWs, experiment with timbre transfer, and develop innovative audio effects.
How to Build Custom Q&A Transformer Models in Python
Learn to fine-tune pre-trained transformer models for question-answering using HuggingFace and PyTorch. Gain practical skills in NLP and unlock the power of transformers for custom Q&A applications.
Multivariate Time Series Forecasting with LSTM Using PyTorch and PyTorch Lightning - ML Tutorial
Learn to build and train an LSTM Deep Neural Network for Bitcoin price prediction using multivariate time series data, PyTorch, and PyTorch Lightning. Covers dataset creation, model building, and prediction analysis.
Inference with Neural Nets
Explore neural network inference, covering mathematical foundations, data science concepts, and practical tools like PyTorch. Gain insights into advanced topics and real-world applications.
Python for Data Science - Data Science Tutorial - Python Tutorial
Learn Python for data science: versatile programming, complex problem-solving, and real-world applications. Covers key concepts, tools, and techniques with hands-on examples and expert guidance.