lywang3081

lywang3081's Stars

• ShiArthur03/ShiArthur03

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

• activeloopai/deeplake

  Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

  Language:Python8.3k91465631

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python8.1k947461.1k

• OpenBMB/MiniCPM

  MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

  Language:Jupyter Notebook7.2k77220461

• GT-RIPL/Awesome-LLM-Robotics

  A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

  3.2k9913251

• clementchadebec/benchmark_VAE

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

  Language:Python1.9k1869167

• pesser/pytorch_diffusion

  PyTorch reimplementation of Diffusion Models

  Language:Python51211748

• JosephKJ/Awesome-Novel-Class-Discovery

  A list of papers that studies Novel Class Discovery

  44920757

• Continvvm/continuum

  A clean and simple data loading library for Continual Learning

  Language:Python4221017142

• meta-math/MetaMath

  MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

  Language:Python39872836

• gmongaras/Diffusion_models_from_scratch

  Creating a diffusion model from scratch in PyTorch to learn exactly how they work.

  Language:Python3397325

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

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

  2558011

• mariodoebler/test-time-adaptation

  A repository and benchmark for online test-time adaptation.

  Language:Python20031920

• Rayhane-mamah/Efficient-VDVAE

  Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

  Language:Python19261725

• JH-LEE-KR/l2p-pytorch

  PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22

  Language:Python18231223

• GT-RIPL/CODA-Prompt

  PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"

  Language:Python13571712

• LucyDYu/Awesome-Multimodal-Continual-Learning

  99222

• hhb072/IntroVAE

  A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"

  Language:Python921724

• thu-ml/HiDe-Prompt

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

  Language:Python78467

• lywang3081/Awesome-Continual-Learning

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

  73108

• WangJingyao07/Brain-and-Cognition-Papers-with-Code

  🎉🎨 Papers, Code, Datasets for Neuroscience and Cognition Science

  64305

• jhairgallardo/awesome-continual-self-supervised-learning

  List of papers that combine self-supervision and continual learning

  62631

• GengDavid/SLCA

  SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training

  Language:Python40328

• DebadityaQU/RDDM

  In this work, we introduce Region-Disentangled Diffusion Model (RDDM), a novel diffusion model designed to capture the complex temporal dynamics of ECG.

  Language:Python38965

• zqiao11/TSCIL

  [KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation

  Language:Python35306

• thuml/OpenDG-DAML

  Code release for Open Domain Generalization with Domain-Augmented Meta-Learning (CVPR2021)

  Language:Python34676

• AnAppleCore/MOSE

  Multi-level Online Sequential Experts (MOSE) for online continual learning problem. (CVPR2024)

  Language:Python20151

• chuxiuhong/DualTeacher

  Official implementation of the paper "Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection"

  Language:Python14300

• lvyilin/AdaB2N

  Official Implementation of NeurIPS 2023 paper "Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation"

  Language:Python5104

• lywang3081/TMNs

  Triple Memory Networks: a Brain-Inspired Method for Continual Learning (TNNLS 2021)

  Language:Python4100