zymrael Goto Github PK

accelerate

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

algorithm-greatest-hits

A collection of the greatest hits from the field of algorithm design

alphafold

Open source code for AlphaFold.

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

autoawq

AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference.

awesome-latent-control

A collection of resources regarding the interplay between control, causality, latent structure and self-supervision.

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

bayesian-sde

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

cheatsheets

Official Matplotlib cheat sheets

data-science-demos-r

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dex-lang

Research language for array processing in the Haskell/ML family

dotfiles

ec

fastai

The fastai deep learning library, plus lessons and and tutorials

flash-attention

Fast and memory-efficient exact attention

flax

Flax is a neural network ecosystem for JAX that is designed for flexibility.

gde

Neural Graph Differential Equations (Neural GDEs)

gdown

Download a large file from Google Drive (curl/wget fails because of the security notice).

helm-safari

Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110).

kbandits

Reinforcement Learning - kbandits

meeting_materials

--

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

nbdev

Create delightful python projects using Jupyter Notebooks

ndarray

A Multidimensional Array library for Swift

pac-adasampling

An implementation of the algorithm proposed in 'A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent', Ben London 2018

porthamiltoniannn

Port-Hamiltonian Approach to Neural Network Training

pymarl

Beta code release for Python Multi-Agent Reinforcement Learning framework

pythonprogrammingpuzzles

A Dataset of Python Challenges for AI Research

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration