fwu11

fwu11's Stars

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook40k4101205.3k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python28.3k2412843.3k

• NVIDIA/Megatron-LM

  Ongoing research training transformer models at scale

  Language:Python11.4k1708442.6k

• OptimalScale/LMFlow

  An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

  Language:Python8.3k70420833

• datawhalechina/llm-universe

  本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

  Language:Jupyter Notebook5.5k2558656

• Lordog/dive-into-llms

  《动手学大模型Dive into LLMs》系列编程实践教程

  4.4k2711390

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.9k13549581

• mseitzer/pytorch-fid

  Compute FID scores with PyTorch.

  Language:Python3.5k1286525

• Lightning-AI/torchmetrics

  Machine learning metrics for distributed, scalable PyTorch applications.

  Language:Python2.2k34920423

• bioinf-jku/TTUR

  Two time-scale update rule for training GANs

  Language:Jupyter Notebook8722337173

• bnu-wangxun/Deep_Metric

  Deep Metric Learning

  Language:Python7783549147

• gpu-mode/awesomeMLSys

  An ML Systems Onboarding list

  68817023

• RaptorMai/online-continual-learning

  A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).

  Language:Python39472357

• AntixK/PyTorch-Model-Compare

  Compare neural networks by their feature similarity

  Language:Python35241337

• gtegner/mine-pytorch

  Mutual Information Neural Estimation in Pytorch

  Language:Jupyter Notebook3107661

• EnnengYang/Awesome-Forgetting-in-Deep-Learning

  A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.

  2718012

• yulu0724/SDC-IL

  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

  Language:Python11932034

• JH-LEE-KR/dualprompt-pytorch

  PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

  Language:Python11021115

• thu-ml/HiDe-Prompt

  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)

  Language:Python79467

• gqk/LAE

  [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning

  Language:Python75365

• liangyanshuo/InfLoRA

  The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning

  Language:Python58270

• ShipengWang/Adam-NSCL

  PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"

  Language:Python57142

• feyzaakyurek/subspace-reg

  Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification

  Language:Python28442

• JingyangQiao/prompt-gradient-projection

  Language:Python26152

• HAIV-Lab/SSIAT

  CVPR 2024 Paper: Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer

  Language:Python21013

• LzVv123456/Contrastive-Prototypical-Prompt

  Language:Python20140

• mohmdelsayed/upgd

  a continual learning optimizer mitigating catastrophic forgetting and loss of plasticity

  Language:Python13203

• jpmorganchase/ovor

  GTAR OVOR Project

  Language:Python10511

• MIV-XJTU/EvoPrompt

  PyTorch implementation of paper "Evolving Parameterized Prompt Memory for Continual Learning" in AAAI 2024 (Oral).

  Language:Python8122

• grypesc/AdaGauss

  2024 Neurips paper on Continual Learning and Class Incremental Learning

  Language:Python7310