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accelerate

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

analytics-zoo

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

autograd

Efficiently computes derivatives of numpy code.

benchmark

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

coding-interview-university

A complete computer science study plan to become a software engineer.

diffusers

Modification to run inference of Stable Diffusion models from HF. Will be included in the tutorial.

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

flash-attention

Fast and memory-efficient exact attention

flash-attention-jax

Implementation of Flash Attention in Jax

harvard_datamining_business_student

For students of Harvard CSCI E-96 Data Mining for Business

helloworld

This is a hello world repository in this account

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

llama

Inference code for LLaMA models

maxdiffusion

ml-auto-solutions

A simplified and automated orchestration workflow to perform ML end-to-end (E2E) model tests and benchmarking on Cloud VMs across different frameworks.

ml-testing-accelerators

Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)

mynewreporemotefirst

mynewreposiory

ncaa

Winner Prediction for NCAA March Madness

neu-cluster

Unsupervised classification of the North Eastern University Steel Surface Defects Database

nltk_data

NLTK Data

ntire2017

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

openfederatedlearning

openxla

A community-driven and modular open source compiler for ML.

optimum-nvidia

pdfs

Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydata-notebook

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

python

All Algorithms implemented in Python