xiaofeizidahuoji

xiaofeizidahuoji's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k1.1k16.4k27.5k

• ollama/ollama

  Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.

  Language:Go106k6145.4k8.5k

• 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:Python57.7k4611335.9k

• chatanywhere/GPT_API_free

  Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。

  Language:Python26.6k1223182k

• huggingface/peft

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

  Language:Python16.9k1121.1k1.7k

• xinychen/transdim

  Machine learning for transportation data imputation and prediction.

  Language:Jupyter Notebook1.2k3729305

• SalesforceAIResearch/uni2ts

  Unified Training of Universal Time Series Forecasting Transformers

  Language:Jupyter Notebook973983111

• qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM

  A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

  95829371

• GestaltCogTeam/BasicTS

  A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

  Language:Python80610127122

• liaoyuhua/LLM4TS

  Large Language & Foundation Models for Time Series.

  46916239

• xiyuanzh/awesome-llm-time-series

  tracking papers, datasets, and models of "large language model (LLM) for time series"

  3405222

• sun-hailong/LAMDA-PILOT

  🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

  Language:Python33862135

• HKUDS/UrbanGPT

  [KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"

  Language:Python323163144

• HKUDS/Awesome-LLM4Graph-Papers

  [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"

  2649111

• GestaltCogTeam/STID

  Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.

  Language:Python20372023

• withinmiaov/A-Survey-on-Mixture-of-Experts

  The official GitHub page for the survey paper "A Survey on Mixture of Experts".

  1898413

• tsinghua-fib-lab/UniST

  Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)

  Language:Python15542515

• deepkashiwa20/MegaCRN

  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

  Language:Python1072818

• eclipse/mosaic

  Eclipse MOSAIC is a Multi-Domain and Multi-Scale Simulation Framework for Automated and Connected Mobility Scenarios.

  Language:Java9781857

• HKUDS/OpenCity

  "OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"

  Language:Python8811112

• HKUDS/FlashST

  [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"

  Language:Python65363

• EMZucas/minidrive

  62932

• HyunWookL/TESTAM

  Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts

  Language:Python43272

• sunsided/SFND_Radar_2D_CFAR

  Radar Target Generation and Detection using 2D CA-CFAR

  Language:MATLAB363010

• aditya-167/Radar-Target-Generation-Detection

  This Repo contains workflow of mmWave automotive radar sensor for target range, doppler velocity and Constant false alarm rate (CFAR thresholding) Implementation as a part of Udacity Sensor Fusion nanodegree

  Language:MATLAB22107

• eazydammy/radar-target-generation-and-detection

  Generating targets and detecting range and velocity from simulated FMCW waveform radar signals using the Range/Doppler FFT method and displaying targets using the 2D CFAR visualization.

  Language:MATLAB21205

• uclaml/MoE

  Towards Understanding the Mixture-of-Experts Layer in Deep Learning

  Language:Jupyter Notebook21314

• spcl/smoe

  Spatial Mixture-of-Experts

  Language:Python19721

• MAGICS-LAB/STanHop

  [ICLR 2024] STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction

  Language:Python16011

• HaoranChen/PromptFusion

  Language:Python3110