WeihanLikk

WeihanLikk's Stars

• microsoft/DeepSpeed

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

  Language:Python36.2k3482.9k4.2k

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  20.6k390291.7k

• triton-lang/triton

  Development repository for the Triton language and compiler

  Language:C++14k1971.6k1.7k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.8k1015831.2k

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python10.8k15965843

• ShiArthur03/ShiArthur03

  Language:MATLAB10.3k321.4k1.9k

• sgl-project/sglang

  SGLang is a fast serving framework for large language models and vision language models.

  Language:Python7.3k66880699

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.9k43881.1k

• OpenRLHF/OpenRLHF

  An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)

  Language:Python3.7k30391359

• gpu-mode/lectures

  Material for gpu-mode lectures

  Language:Jupyter Notebook3.5k5110348

• deepseek-ai/DeepSeek-Coder-V2

  DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

  2.8k3451177

• josephg/noisejs

  Javascript 2D Perlin & Simplex noise functions

  Language:JavaScript1.7k3124250

• fla-org/flash-linear-attention

  🚀 Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton

  Language:Python1.6k298686

• yangkky/Machine-learning-for-proteins

  Listing of papers about machine learning for proteins.

  1.6k150182208

• intelligent-machine-learning/dlrover

  DLRover: An Automatic Distributed Deep Learning System

  Language:Python1.3k49264171

• AmberLJC/LLMSys-PaperList

  Large Language Model (LLM) Systems Paper List

  73029126

• radarFudan/Awesome-state-space-models

  Collection of papers on state-space models

  56817520

• proger/accelerated-scan

  Accelerated First Order Parallel Associative Scan

  Language:Python166888

• erdogant/clustimage

  clustimage is a python package for unsupervised clustering of images.

  Language:Jupyter Notebook964278

• ruke1ire/RTF

  A State-Space Model with Rational Transfer Function Representation.

  Language:Assembly76503

• zju-bmi-lab/Fast-SNN

  Language:Python58154

• NicolasZucchet/minimal-LRU

  Non official implementation of the Linear Recurrent Unit (LRU, Orvieto et al. 2023)

  Language:Python50157

• joao-semedo/communication-subspace

  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)

  Language:MATLAB432015

• johnryan465/pscan

  Language:Python37113

• EEA-sensors/sequential-parallelization-examples

  This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.

  Language:Jupyter Notebook31453

• bradhilton/o1-chain-of-thought

  o1 Chain of Thought Examples

  30100

• raphaelreme/torch-kf

  Fast implementation of Kalman filtering with PyTorch

  Language:Python110

• nerdslab/bams

  PyTorch implementation of BAMS (https://multiscale-behavior.github.io/)

  Language:Jupyter Notebook10615

• krey/rrpy

  Reduced rank regression in Python

  Language:Python4110

• WeihanLikk/MRM-GP

  The code for paper: Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions [ICML 2024]

  Language:Jupyter Notebook4100