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#Hyperparameter Optimization

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Massachusetts Institute of Technology

Tuning GPT-3 on a Single GPU via Zero-Shot Hyperparameter Transfer

1 rewiews
Discover how to tune GPT-3 hyperparameters efficiently on a single GPU using µTransfer, a technique based on the maximal update parametrization that enables optimization of large language models with minimal resources.
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19 Lesons
54 minutes
On-Demand
Free-Video
Stanford University

Federated Hyperparameter Tuning - Challenges, Baselines, and Connections

0 rewiews
Explores challenges and solutions for hyperparameter tuning in federated learning, introducing FedEx method to accelerate the process. Connects to weight-sharing in neural architecture search and demonstrates improved accuracy on benchmarks.
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25 Lesons
57 minutes
On-Demand
Free-Video

Нейросети на Python

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Учебный курс начального уровня для программистов, которые хотят научится применять нейронные сети для решения практических задач.
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11 Lesons
2 hours 30 minutes
On-Demand
Free-Video
Linux Foundation

Boosting LLM Development and Training Efficiency: Automated Parallelization with MindSpore

0 rewiews
Explore automated parallelization for efficient LLM development and training using MindSpore. Learn to optimize distributed training on large-scale clusters without intrusive model modifications, accelerating AI research and implementation.
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1 Lesons
44 minutes
On-Demand
Free-Video
Google TechTalks

Improving the Privacy-Utility Tradeoff in Differentially Private Machine Learning with Public Data

0 rewiews
Explore techniques to enhance privacy-utility balance in differentially private machine learning using public data, focusing on DP-RAFT and DOPE-SGD algorithms for improved model accuracy.
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1 Lesons
38 minutes
On-Demand
Free-Video
USENIX

Utility Analysis for Differentially-Private Pipelines

0 rewiews
Explore a methodology for estimating differential privacy's impact on data quality, aiding informed decision-making in implementing privacy-preserving pipelines.
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1 Lesons
13 minutes
On-Demand
Free-Video
Databricks

Revolutionizing Legal Industry with Spark, NLP and Azure Databricks - Clifford Chance Case Study

0 rewiews
Explore how a top law firm revolutionizes operations using advanced analytics, Spark, NLP, and Azure Databricks to handle millions of legal documents and enhance client relationships.
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22 Lesons
40 minutes
On-Demand
Free-Video
Simons Institute

Robust Equation Discovery and Sparse Sensing with Guarantees

0 rewiews
Explore statistical mechanics for robust sparse equation discovery and optimal sensor placement, with applications in nuclear digital twins and high-dimensional field reconstruction.
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1 Lesons
1 hour
On-Demand
Free-Video
OpenSource Connections

Training High Quality Embedding Models for Production Vector Search

0 rewiews
Master practical techniques for training and optimizing embedding models for production-ready vector search, covering data quality, loss functions, and efficient updating strategies.
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1 Lesons
43 minutes
On-Demand
Free-Video
Discover AI

SETFIT Hyperparameter Optimization for SBERT Text Classification - Part 45

0 rewiews
Master SETFIT hyperparameter optimization techniques for efficient text classification using Sentence Transformers, focusing on contrastive training and automated parameter tuning for optimal performance.
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1 Lesons
22 minutes
On-Demand
Free-Video
The Full Stack

Infrastructure & Tooling - Full Stack Deep Learning - Spring 2021

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Comprehensive overview of ML infrastructure and tools, covering software engineering, computing, resource management, frameworks, experiment management, and hyperparameter optimization for practitioners.
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11 Lesons
1 hour 7 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Efficient AutoML with Ludwig, Ray, and Nodeless Kubernetes

0 rewiews
Explore efficient AutoML using Ludwig and Ray, leveraging heuristics for model production. Learn how Nodeless Kubernetes optimizes GPU resource management, reducing costs in cloud environments.
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1 Lesons
28 minutes
On-Demand
Free-Video
AutoML Seminars

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

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Discover a methodology for efficiently selecting and fine-tuning pretrained models through meta-learning, optimizing model selection and hyperparameter configurations for new datasets.
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1 Lesons
40 minutes
On-Demand
Free-Video
AutoML Seminars

Multi-Objective Population Based Training for Hyperparameter Optimization

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Discover advanced hyperparameter optimization techniques through Population Based Training (PBT) and its multi-objective evolution, focusing on real-world applications in precision, fairness, and robustness.
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1 Lesons
26 minutes
On-Demand
Free-Video
AutoML Seminars

Challenges in Hyperparameter Optimization for Reinforcement Learning - Understanding AutoRL Through AutoML

0 rewiews
Explore the complexities of hyperparameter optimization in Reinforcement Learning, examining AutoML tools and methods to better understand and tune RL algorithms for improved performance.
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1 Lesons
32 minutes
On-Demand
Free-Video
AutoML Seminars

Multi-objective Bayesian Optimization with Heuristic Objectives for Biomedical and Molecular Data Analysis Workflows

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Discover advanced Bayesian optimization techniques for biomedical data analysis, focusing on multi-objective approaches with heuristic objectives in unsupervised bioinformatics workflows.
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20 Lesons
42 minutes
On-Demand
Free-Video
AutoML Seminars

Hyperparameter Optimization and Algorithm Configuration from a Black-Box Optimization Perspective

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Explore dynamic algorithm configuration and hyperparameter optimization approaches, comparing AutoML and black-box optimization methods for efficient, adaptive parameter tuning.
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13 Lesons
48 minutes
On-Demand
Free-Video
Aladdin Persson

Pytorch TensorBoard Tutorial

0 rewiews
Comprehensive guide to TensorBoard in PyTorch: plotting functions, hyperparameter search, image and weight visualization, and embedding projector. Practical examples included.
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6 Lesons
30 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Tensor Programs - Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

0 rewiews
Explore μTransfer: a technique for tuning large neural networks via zero-shot hyperparameter transfer, making optimal hyperparameters stable with respect to width scaling.
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9 Lesons
52 minutes
On-Demand
Free-Video
Open Data Science

Scaling AI Applications with Ray - Richard Liaw & Eric Liang | ODSC East 2019

0 rewiews
Explore Ray, a distributed execution engine for AI workloads. Learn about Tune for hyperparameter optimization and RLib for reinforcement learning, with insights on scalability and practical applications.
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16 Lesons
32 minutes
On-Demand
Free-Video
Databricks

Managing the Complete Machine Learning Lifecycle with MLflow - Part 2

0 rewiews
Explore MLflow's capabilities for managing machine learning lifecycles, from data preparation to model deployment, with practical insights on hyperparameter optimization and production workflows.
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18 Lesons
41 minutes
On-Demand
Free-Video
Julia Silge

Hyperparameter Tuning Using Tidymodels

0 rewiews
Explore hyperparameter tuning for random forest models using global food consumption data, enhancing model performance and gaining insights into international dietary patterns.
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11 Lesons
30 minutes
On-Demand
Free-Video
Yannic Kilcher

What Matters in On-Policy Reinforcement Learning? A Large-Scale Empirical Study

0 rewiews
Comprehensive study on on-policy reinforcement learning, examining 50+ design choices across 5 environments. Provides insights and recommendations for practitioners to optimize agent performance in continuous control tasks.
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13 Lesons
38 minutes
On-Demand
Free-Video
Yannic Kilcher

RoBERTa - A Robustly Optimized BERT Pretraining Approach

0 rewiews
Explore how RoBERTa improves BERT's performance through optimized training, challenging recent model enhancements and highlighting the impact of hyperparameter choices in language model pretraining.
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1 Lesons
19 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Optimization

0 rewiews
Explore advanced optimization techniques for tall dense linear programs, including faster energy maximization for maximum flow problems.
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8 Lesons
38 minutes
On-Demand
Free-Video
Abhishek Thakur

Automated Hyperparameter Tuning for Deep Neural Networks

0 rewiews
Comprehensive guide to automated hyperparameter tuning for deep neural networks using Optuna, covering dataset preparation, model design, and optimization techniques in PyTorch.
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11 Lesons
56 minutes
On-Demand
Free-Video
Abhishek Thakur

Hyperparameter Optimization - This Tutorial Is All You Need

0 rewiews
Explore various hyperparameter optimization techniques including Grid Search, Random Search, Bayesian Optimization, Hyperopt, and Optuna to fine-tune models and optimize functions effectively.
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7 Lesons
1 hour
On-Demand
Free-Video
Databricks

Efficient Distributed Hyperparameter Tuning with Apache Spark

0 rewiews
Learn to efficiently distribute hyperparameter tuning workloads using Apache Spark, avoiding common pitfalls and optimizing performance. Explore best practices with Hyperopt and joblib-spark for scaling ML model training.
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10 Lesons
26 minutes
On-Demand
Free-Video
tinyML

CMSIS-NN & Optimizations for Edge AI

0 rewiews
Explore Edge AI optimizations, CMSIS-NN library, and TensorFlow Lite for microcontrollers. Learn performance enhancement techniques and see a live demo on Arduino Nano 33 BLE Sense board.
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23 Lesons
48 minutes
On-Demand
Free-Video
Digi-Key

Hyperparameter Optimization for Reinforcement Learning Using Meta's Ax

0 rewiews
Learn to optimize hyperparameters for reinforcement learning using Meta's Ax framework. Explore grid search, random search, and Bayesian optimization techniques to improve machine learning model performance.
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23 Lesons
58 minutes
On-Demand
Free-Video
Digi-Key

TinyRL: Teaching AI to Swing Up a Real Pendulum

0 rewiews
Explore reinforcement learning to train an AI agent to swing up a real pendulum using Arduino, Python frameworks, and ESP32 deployment, with practical demonstrations and troubleshooting tips.
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15 Lesons
22 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Training and Optimisation of Large Transformer Models - An ATLAS and CERN Use Case

0 rewiews
Explore CERN's implementation of transformer models for Jet Flavour Tagging, utilizing Kubeflow for machine learning and Katib for hyperparameter optimization in large-scale particle physics data analysis.
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1 Lesons
37 minutes
On-Demand
Free-Video
echohive

Deep Reinforcement Learning Agent for Snake Game

0 rewiews
Explore deep reinforcement learning as an AI agent masters the classic snake game, with code review and optimization techniques for Python-based machine learning projects.
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7 Lesons
33 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Neural Architecture Search: Coming of Age

0 rewiews
Explore Neural Architecture Search advancements, including benchmarks, speedup techniques, AutoML integration, and neural ensemble search. Gain insights from a leading expert in automated machine learning.
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1 Lesons
58 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Learning Neural Network Hyperparameters for Machine Translation - 2019

0 rewiews
Explore neural network hyperparameter optimization for machine translation, focusing on efficient methods to learn parameters during training without extensive grid searches.
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19 Lesons
52 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

A Hyperparameter Optimization Toolkit for Neural Machine Translation Research

0 rewiews
Explore a toolkit for optimizing hyperparameters in neural machine translation research, enhancing efficiency and performance in NMT model development.
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1 Lesons
11 minutes
On-Demand
Free-Video
EuroPython Conference

Auto-Sklearn - Automated Machine Learning in Python

0 rewiews
Discover Auto-sklearn, an open-source AutoML tool that simplifies machine learning pipeline development. Learn its functionality, benefits, and how to implement it as a scikit-learn replacement.
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1 Lesons
45 minutes
On-Demand
Free-Video
GAIA

Unveiling Precision: A Novel Machine Learning Framework for Accurate Probability Estimates in Financial Industries

0 rewiews
Explore a cutting-edge ML framework for precise probability estimates in finance. Learn advanced calibration metrics and optimization techniques to significantly improve cash flow predictions.
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1 Lesons
28 minutes
On-Demand
Free-Video
AutoML Seminars

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face-Recognition

0 rewiews
Explore groundbreaking research on addressing bias in face recognition systems through neural architecture optimization, revealing how architectural choices impact fairness more than data preprocessing alone.
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1 Lesons
41 minutes
On-Demand
Free-Video
AutoML Seminars

AutoGluon 1.0 - Shattering SOTA with Zeroshot-HPO and Dynamic Stacking

0 rewiews
Discover how AutoGluon 1.0 revolutionizes machine learning with Zeroshot-HPO and Dynamic Stacking, achieving superior performance in automated model training and ensemble stability.
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1 Lesons
45 minutes
On-Demand
Free-Video
AutoML Seminars

Vanilla Bayesian Optimization Performs Great in High Dimensions

0 rewiews
Discover how scaling Gaussian process lengthscale prior with dimensionality enables vanilla Bayesian optimization to excel in high-dimensional optimization problems, outperforming complex alternatives.
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1 Lesons
35 minutes
On-Demand
Free-Video
Data Science Conference

Reproducibility and Versioning of Machine Learning Systems

0 rewiews
Explore essential aspects of ML system reproducibility, from dataset versioning to containerization, ensuring reliable model performance and regulatory compliance in production environments.
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1 Lesons
32 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

AutoML Towards Deep Learning: Optimizing Neural Architectures and Hyperparameters

0 rewiews
Explore advances in AutoML for Deep Learning, focusing on joint optimization, efficiency, and robustness. Learn about the future of automated neural architecture and hyperparameter optimization.
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1 Lesons
57 minutes
On-Demand
Free-Video
NashKnolX

How to Finetune and Develop Your Own Large Language Model

0 rewiews
Explore techniques for fine-tuning and developing custom large language models, enhancing your AI capabilities and understanding of advanced NLP concepts.
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1 Lesons
54 minutes
On-Demand
Free-Video
Anyscale

Building and Deploying Real-World ML Models with Ray and Weights & Biases

0 rewiews
Discover how to leverage Ray and Weights & Biases for scalable MLOps, hyperparameter optimization, and real-world ML model deployment through case studies and practical insights.
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1 Lesons
32 minutes
On-Demand
Free-Video
nanohubtechtalks

Introduction to a Basic Machine Learning Workflow for Predicting Materials Properties

0 rewiews
Learn a basic machine learning workflow for predicting material properties, covering data cleaning, feature engineering, model training, and optimization using decision trees to forecast material bandgaps from compositions.
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21 Lesons
56 minutes
On-Demand
Free-Video
kasukanra

Stable Diffusion 3 2B Medium Training with Kohya and SimpleTuner - Full Finetune and LoRA

0 rewiews
Comprehensive guide on training Stable Diffusion 3 for art styles using kohya and SimpleTuner, covering setup, parameters, experiments, and result analysis for both full finetune and LoRA approaches.
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68 Lesons
1 hour 20 minutes
On-Demand
Free-Video
ChemicalQDevice

Optimizing Quantum Parameters for Better Results in Neuroradiology

0 rewiews
Explore quantum convolution neural networks, quanvolutional neural networks, and related literature. Learn to build, run, and optimize quantum circuits for improved performance in neuroradiology applications.
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1 Lesons
1 hour 13 minutes
On-Demand
Free-Video
ChemicalQDevice

Quantum Algorithms and Parallel Architectures - New Results and Summary

0 rewiews
Explore new findings in quantum algorithms and parallel architectures, comparing methods and machine learning parameters for advanced computational approaches.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Tejas Kumar

How to Train an LLM, Ethics, and the Future of AI

0 rewiews
Explore AI's intricacies, ethical implications, and future. Delve into LLM training, data ethics, job displacement, and human uniqueness. Examine latent space, voice modeling, and AI consciousness.
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16 Lesons
1 hour 49 minutes
On-Demand
Free-Video
Scalable Parallel Computing Lab, SPCL @ ETH Zurich

Democratizing Deep Learning with DeepHyper

0 rewiews
Explore DeepHyper: Automate DNN design for scientific data using scalable neural architecture and hyperparameter search. Learn to generate DNN ensembles for uncertainty estimation in various applications.
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4 Lesons
1 hour 1 minute
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

AutoML for Natural Language Processing - EACL 2013 Tutorial

0 rewiews
Explore AutoML techniques for NLP, covering hyperparameter optimization and neural architecture search to improve model-building rigor and efficiency.
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1 Lesons
2 hours 44 minutes
On-Demand
Free-Video