tranbahien

tranbahien's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python52.3k4351305.4k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26k282392.2k

• triton-lang/triton

  Development repository for the Triton language and compiler

  Language:C++12.1k1861.3k1.4k

• facebookresearch/xformers

  Hackable and optimized Transformers building blocks, supporting a composable construction.

  Language:Python8.1k80502574

• facebookresearch/ConvNeXt

  Code release for ConvNeXt model

  Language:Python5.7k33128685

• google/gemma_pytorch

  The official PyTorch implementation of Google's Gemma models

  Language:Python5.2k3837493

• allenai/OLMo

  Modeling, training, eval, and inference code for OLMo

  Language:Python4.3k42175401

• amazon-science/mm-cot

  Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

  Language:Python3.7k5350311

• kimiyoung/transformer-xl

  Language:Python3.6k83133759

• POSTECH-CVLab/PyTorch-StudioGAN

  StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

  Language:Python3.4k54117337

• jbhuang0604/awesome-tips

  3.3k984185

• thu-ml/unidiffuser

  Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"

  Language:Python1.3k173287

• Vahe1994/AQLM

  Official Pytorch repository for Extreme Compression of Large Language Models via Additive Quantization https://arxiv.org/pdf/2401.06118.pdf

  Language:Python1k1859162

• bayesiains/nflows

  Normalizing flows in PyTorch

  Language:Python8172949121

• VincentStimper/normalizing-flows

  PyTorch implementation of normalizing flow models

  Language:Python6511441100

• acids-ircam/diffusion_models

  A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch

  Language:Jupyter Notebook61810876

• wavefrontshaping/complexPyTorch

  A high-level toolbox for using complex valued neural networks in PyTorch

  Language:Python6041128146

• ikostrikov/pytorch-flows

  PyTorch implementations of algorithms for density estimation

  Language:Python57118877

• LiyuanLucasLiu/Transformer-Clinic

  Understanding the Difficulty of Training Transformers

  Language:Python324122320

• facebookresearch/amortized-optimization-tutorial

  Tutorial on amortized optimization for learning to optimize over continuous domains

  Language:TeX2349012

• google/aqt

  Language:Python22662725

• amitness/colab-connect

  Connect to Google Colab VM from your local VSCode

  Language:Python2232330

• junhsss/consistency-models

  A Toolkit for OpenAI's Consistency Models.

  Language:Python19291111

• HazyResearch/butterfly

  Butterfly matrix multiplication in PyTorch

  Language:Python158202732

• hahnyuan/PB-LLM

  PB-LLM: Partially Binarized Large Language Models

  Language:Python1413510

• RobertCsordas/moe_attention

  Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"

  Language:Python84727

• betanalpha/mcmc_diagnostics

  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan

  Language:HTML66925

• microsoft/Stochastic-Mixture-of-Experts

  This package implements THOR: Transformer with Stochastic Experts.

  Language:Python60748

• neale/HyperGAN

  Generative Model for Neural Networks

  Language:Python23607

• cagatayyildiz/neural-ode-tutorial

  Neural ODE tutorial

  Language:Jupyter Notebook9400