qiaowenchuan

qiaowenchuan's Stars

• 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:Python57.6k4611325.9k

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.8k4353.4k3.8k

• DLR-RM/rl-baselines3-zoo

  A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

  Language:Python2.2k24255525

• Pyomo/pyomo

  An object-oriented algebraic modeling language in Python for structured optimization problems.

  Language:Python2.1k621.4k526

• openai/requests-for-research

  A living collection of deep learning problems

  Language:HTML1.7k37910606

• PKU-Alignment/omnisafe

  JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

  Language:Python96340105132

• ericyangyu/PPO-for-Beginners

  A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

  Language:Python826129120

• google-deepmind/funsearch

  Language:Jupyter Notebook750206135

• vwxyzjn/ppo-implementation-details

  The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization

  Language:Python66636100

• marload/DeepRL-TensorFlow2

  🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

  Language:Python604198141

• Mcompetitions/M5-methods

  Data, Benchmarks, and methods submitted to the M5 forecasting competition

  Language:Jupyter Notebook5914814237

• PKU-Alignment/Safe-Policy-Optimization

  NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

  Language:Python33481146

• twni2016/pomdp-baselines

  Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

  Language:Python31051042

• ml-jku/baselines-rudder

  RUDDER for ATARI games with delayed rewards in OpenAI Baselines package

  Language:Python26716040

• Stable-Baselines-Team/rl-colab-notebooks

  Colab notebooks part of the documentation of Stable Baselines reinforcement learning library

  Language:Jupyter Notebook2117639

• yuxiaowww/BDCI-2018-Supply-Chain-Demand-Forecast

  初赛Rank1 复赛Rank1 2018 CCF 大数据与计算智能大赛 供应链需求预测 Miracccccccle

  Language:Python17510177

• MarcoMeter/recurrent-ppo-truncated-bptt

  Baseline implementation of recurrent PPO using truncated BPTT

  Language:Jupyter Notebook13141117

• hwiberg/OptiCL

  An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

  Language:Jupyter Notebook1176019

• LaunchpadAI/space-bandits

  Language:Jupyter Notebook10291930

• twni2016/Memory-RL

  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)

  Language:Python60235

• akjayant/PPO_Lagrangian_PyTorch

  Implementation of PPO Lagrangian in PyTorch

  Language:Python352110

• widmi/rudder-a-practical-tutorial

  A practical step-by-step guide to applying RUDDER

  Language:Jupyter Notebook344014

• venktesh22/ExpressLanes_Deep-RL

  Language:Python26305

• ml-jku/rudder-demonstration-code

  Code for demonstration example-task in RUDDER blog

  Language:Python225111

• JorenGijsbrechts/DRL_A3C_inventory

  Language:Python19116

• bramdemoor-BE/Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management

  Link to paper: https://www.ssrn.com/abstract=3804655

  Language:Python13104

• shaneg1507/data-analytics-in-supply-chain

  An analysis, with a focus on demand forecasting, of transactional data associated with over 2.5 million customers and 31,868 SKUs over the month of March in 2018 from JD.com, one of China’s largest retailers.

  Language:Jupyter Notebook13121

• ggrani/JSSP_actor-critic_Agasucci_Monaci_Grani

  Code from the paper An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents."

  Language:Python9103

• LinghengMeng/Multistep-DDPG

  The implementation of Multistep-DDPG and Mixed-Multistep-DDPG

  Language:Python9201

• DRL-OM/DRL-assortment

  Language:Jupyter Notebook6101