MdAsifKhan

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

awesome-neovim

Collections of awesome neovim plugins.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

python-cheatsheet

All-inclusive Python cheatsheet

ng-video-lecture

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

HEBO

Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

s4

Structured state space sequence models

benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

multimodal

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

intro_dgm

"Deep Generative Modeling": Introductory Examples

evotorch

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

PyGCL

PyGCL: A PyTorch Library for Graph Contrastive Learning

ssm

Bayesian learning and inference for state space models

torchmd

End-To-End Molecular Dynamics (MD) Engine using PyTorch

deep-significance

Enabling easy statistical significance testing for deep neural networks.

berkeleytextbooks

Textbooks (EE)CS majors at Berkeley would find helpful

dmc2gym

OpenAI Gym wrapper for the DeepMind Control Suite

NumericsOfML

Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen

GeometricKernels

Geometric kernels on manifolds, meshes and graphs

Absolut

Unconstrained lattice antibody-antigen bindings generator

CancerRiskNet

manuscript_insilico_antibody_generation

learning_irreps

Learning irreducible representations of noncommutative Lie groups, applied to constructing equivariant neural networks

pytorch-experiments-template

A pytorch based classification experiments template