wlj6816

wlj6816's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python168k1.6k2.7k44.2k

• 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:Python54.9k4521325.7k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.1k1091.1k1.6k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.9k27047938

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python10.5k68105671

• Jack-Cherish/Machine-Learning

  :zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

  Language:Python9k268155.1k

• pytorch-labs/gpt-fast

  Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

  Language:Python5.6k6398509

• run-llama/sec-insights

  A real world full-stack application using LlamaIndex

  Language:TypeScript2.3k3566638

• ddz16/TSFpaper

  This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

  1.9k6523174

• yuqinie98/PatchTST

  An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

  Language:Python1.5k13113264

• thuml/iTransformer

  Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

  Language:Python1.2k10121211

• Duxiaoman-DI/XuanYuan

  轩辕：度小满中文金融对话大模型

  Language:Python1k123995

• AGI-Edgerunners/LLM-Agents-Papers

  A repo lists papers related to LLM based agent

  Language:Python1k33974

• THUDM/P-tuning

  A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

  Language:Python9172350111

• wehos/awesome-graph-transformer

  Papers about graph transformers.

  77320568

• codecaution/Awesome-Mixture-of-Experts-Papers

  A curated reading list of research in Mixture-of-Experts(MoE).

  52614440

• clovaai/generative-evaluation-prdc

  Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

  Language:Python2419928

• muzairkhattak/PromptSRC

  [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without Forgetting".

  Language:Python2215169

• keithorange/PatternPy

  📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistances. For experts & beginners. #TradingMadeEasy 🔥

  Language:Python21710855

• chuanyang-Zheng/Progressive-Hint

  This is the official implementation of "Progressive-Hint Prompting Improves Reasoning in Large Language Models"

  Language:Python1992914

• JH-LEE-KR/l2p-pytorch

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

  Language:Python17521223

• mfederici/Multi-View-Information-Bottleneck

  Implementation of Multi-View Information Bottleneck

  Language:Jupyter Notebook1242717

• thjashin/multires-conv

  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)

  Language:Python119642

• anniesch/surgical-finetuning

  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023

  Language:Python28212

• hqh0728/CrossGNN

  The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement

  23031

• YCJGG/GDH

  A hash work for SBIR

  Language:Python20266

• DongkiKim95/D-SLA

  Official Code Repository for the paper "Graph Self-supervised Learning with Accurate Discrepancy Learning" (NeurIPS 2022)

  Language:Python16122

• chen-hao-chao/dlsm

  [ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation

  Language:Python7401

• enod/Nvidia-Transformer-XL

  Language:Python5200

• Junya-Chen/pytorch-fid

  Compute FID scores with PyTorch.

  Language:Python0000