liuyang811

liuyang811's Stars

• MetaGLM/LawGLM

  探索 LLM 在法律行业的应用潜力

  Language:Python308

• G-U-N/PyCIL

  PyCIL: A Python Toolbox for Class-Incremental Learning

  Language:Python830139

• modelscope/data-juicer

  Making data higher-quality, juicier, and more digestible for foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！

  Language:Python3k181

• e2b-dev/awesome-ai-agents

  A list of AI autonomous agents

  11.8k876

• happyapplehorse/agere

  The tool is used for building and driving workflows specifically tailored for AI initiatives. It can be used to construct AI agents.

  Language:Python12812

• XingYu-Zhong/LangChainStudy

  这个项目是一个Jupyter notebook的集合，专门用于学习和探索LangChain框架。

  Language:Jupyter Notebook33676

• Tongyi-EconML/FinQwen

  FinQwen: 致力于构建一个开放、稳定、高质量的金融大模型项目，基于大模型搭建金融场景智能问答系统，利用开源开放来促进「AI+金融」。

  Language:Jupyter Notebook31035

• RUCAIBox/LLMSurvey

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

  Language:Python10.5k823

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.4k1.1k

• 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:Python56.8k5.8k

• abhishekkrthakur/approachingalmost

  Approaching (Almost) Any Machine Learning Problem

  7.5k1.1k

• LLMBook-zh/LLMBook-zh.github.io

  《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

  2.3k156

• visipedia/caltech-fish-counting

  The Caltech Fish Counting Dataset

  Language:Python4210

• datawhalechina/so-large-lm

  大模型基础: 一文了解大模型基础知识

  3.1k276

• gitzboy/testremote

  (Free GPT Chinese Mirror List)免费GPT国内镜像列表

  36719

• mmasana/FACIL

  Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

  Language:Python529100

• ContinualAI/avalanche

  Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

  Language:Python1.8k292

• chrhenning/hypercl

  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.

  Language:Python16318

• g1910/HyperNetworks

  PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

  Language:Python26237

• beijixiong3510/OWM

  Code for Continual Learning of Context-dependent Processing in Neural Networks

  Language:Python17844

• lywang3081/Awesome-Continual-Learning

  A paper list of our recent survey on continual learning, and other useful resources in this field.

  718

• luanshiyinyang/awesome-multiple-object-tracking

  Resources for Multiple Object Tracking (MOT)

  1.2k168

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.8k576

• GMvandeVen/continual-learning

  PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

  Language:Jupyter Notebook1.6k312

• ContinualAI/continual-learning-papers

  Continual Learning papers list, curated by ContinualAI

  Language:HTML58354

• optimass/continual_learning_papers

  Relevant papers in Continual Learning

  Language:TeX72482

• datamonday/Time-Series-Analysis-Tutorial

  时间序列分析教程

  Language:Jupyter Notebook853208