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accelerate

A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

actgpt

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

alpa

Auto parallelization for large-scale neural networks

alphafold

Open source code for AlphaFold.

autoscaler

Autoscaling components for Kubernetes

avalanche

Avalanche: an End-to-End Library for Continual Learning.

awesome-deep-neural-network-compression

Summary, Code for Deep Neural Network Quantization

awesome-efficient-gnn

Efficient Graph Neural Networks - a curated list of papers and projects

awesome-prometheus-alerts

🚨 Collection of Prometheus alerting rules

bagua

Bagua Speeds up PyTorch

batch-processing

betting

data gathering, analysis, prediction

bitsandbytes

8-bit CUDA functions for PyTorch

codegen

CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

compilergym

A reinforcement learning toolkit for compiler optimizations

copilot.vim

Neovim plugin for GitHub Copilot

deepkube

K8s operator for deep learning geared towards ZeRO algorithms.

deepspeed-mii

diffusionclip

[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

dinamo

Dynamic Generator

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

dlgpubench

Code for Deep Learning GPU Benchmark: A Latency-Based Approach :watch:

efficientformer

flowmeter

⭐ ⭐ Use ML to classify flows and packets as benign or malicious. ⭐ ⭐

gatekeeper-library

The OPA Gatekeeper policy library.

git-stats

glm-130b

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

gpu-operator

NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes