cq70605

cq70605's Stars

• hijkzzz/Awesome-LLM-Strawberry

  A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

  5.9k322

• Xnhyacinth/Awesome-LLM-Long-Context-Modeling

  📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥

  1.1k41

• zhiyuanhubj/LongRecipe

  LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models

  Language:Python744

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python36.8k4.5k

• gkamradt/LLMTest_NeedleInAHaystack

  Doing simple retrieval from LLM models at various context lengths to measure accuracy

  Language:Jupyter Notebook1.6k177

• TianhongDai/distributed-ppo

  This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).

  Language:Python6114

• fendouai/FaceRank

  FaceRank - Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人脸打分基于 TensorFlow (新增 Keras 版本) 的 CNN 模型（QQ群：167122861）。技术支持：http://tensorflow123.com

  Language:Python856210

• xorbitsai/xorbits

  Scalable Python DS & ML, in an API compatible & lightning fast way.

  Language:Python1.1k69

• automl/auto-sklearn

  Automated Machine Learning with scikit-learn

  Language:Python7.7k1.3k

• blue-yonder/tsfresh

  Automatic extraction of relevant features from time series:

  Language:Jupyter Notebook8.5k1.2k

• DataCanvasIO/HyperTS

  A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

  Language:Python26930

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python5.2k549

• winedarksea/AutoTS

  Automated Time Series Forecasting

  Language:Python1.1k100

• imarvinle/awesome-cs-books

  🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

  17.7k2.6k

• zetane/viewer

  ML models and internal tensors 3D visualizer

  Language:Python1.3k133

• kuwala-io/kuwala

  Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times

  Language:JavaScript79053

• xinychen/transdim

  Machine learning for transportation data imputation and prediction.

  Language:Jupyter Notebook1.2k305

• LibCity/Bigscity-LibCity

  LibCity: An Open Library for Urban Spatial-temporal Data Mining

  Language:Python960168

• bytedance/raylink

  Framework to build and train RL algorithms

  Language:Python374

• microsoft/FLAML

  A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

  Language:Jupyter Notebook4k517

• JinleiZhangBJTU/Transportation_with_Machine_Learning

  交通·未来系列线上公益学术活动PPT

  11321

• underdoc-wang/ST-MGCN

  [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)

  Language:Python8925

• MLWave/Kaggle-Ensemble-Guide

  Code for the Kaggle Ensembling Guide Article on MLWave

  Language:Python1.6k556

• DLLXW/data-science-competition

  该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等

  Language:Python1.3k473

• Aspirin96/L2RPN_NIPS_2020_a_PPO_Solution

  This is a solution for L2RPN_NIPS_Competitions_2020, and it wins 2nd prize.

  Language:Python4816

• qier222/YesPlayMusic

  高颜值的第三方网易云播放器，支持 Windows / macOS / Linux :electron:

  Language:Vue30k4.4k

• kongroo/Huawei-CodeCraft-2019

  2019华为软件精英挑战赛，杭夏赛区-咕咕咕，决赛冠军

  Language:C++10926

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9.8k1.9k

• AI4Finance-Foundation/ElegantRL

  Massively Parallel Deep Reinforcement Learning. 🔥

  Language:Python3.8k853

• Omegastick/pytorch-cpp-rl

  PyTorch C++ Reinforcement Learning

  Language:C++51786