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Material for cuda-mode lectures
Tune efficiently any LLM model from HuggingFace using distributed training (multiple GPU) and DeepSpeed. Uses Ray AIR to orchestrate the training on multiple AWS GPU instances
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
A guidance language for controlling large language models.
Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Source code for Twitter's Recommendation Algorithm
Robust Speech Recognition via Large-Scale Weak Supervision
Curated list of project-based tutorials
Semantic Segmentation Architectures Implemented in PyTorch
Open source code for AlphaFold.
Benchmark datasets, data loaders, and evaluators for graph machine learning
Distributed Asynchronous Hyperparameter Optimization in Python
A pytorch implementation of MINE(Mutual Information Neural Estimation)
Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020
Collection of Papers and Trials on Deep Learning to aid EE design
NASBench: A Neural Architecture Search Dataset and Benchmark
[ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http:https://circuit-gnn.csail.mit.edu/
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.