ChristophSchmidl

ChristophSchmidl's Stars

• google/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30k3285.5k2.7k

• Kanaries/pygwalker

  PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

  Language:Python13.7k82223714

• AI4Finance-Foundation/FinRL

  FinRL: Financial Reinforcement Learning. 🔥

  Language:Jupyter Notebook10.4k2107262.5k

• Farama-Foundation/Minigrid

  Simple and easily configurable grid world environments for reinforcement learning

  Language:Python2.2k39194616

• carpedm20/emoji

  emoji terminal output for Python

  Language:Python1.9k25176278

• dpguthrie/yahooquery

  Python wrapper for an unofficial Yahoo Finance API

  Language:Python79730212142

• google-research/rliable

  [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

  Language:Jupyter Notebook791111948

• araffin/rl-tutorial-jnrr19

  Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

  Language:Jupyter Notebook6271213118

• d-krupke/cpsat-primer

  The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver

  Language:Jupyter Notebook401152938

• rlgraph/rlgraph

  RLgraph: Modular computation graphs for deep reinforcement learning

  Language:Python319227440

• knowledgedefinednetworking/DRL-GNN

  Language:Python20881235

• automl/ConfigSpace

  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.

  Language:Python206922295

• aiplan4eu/unified-planning

  The AIPlan4EU Unified Planning Library

  Language:Python2031218543

• Lei-Kun/DRL-and-graph-neural-network-for-routing-problems

  This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'

  Language:Python2021024

• yd-kwon/POMO

  codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"

  Language:Python1652848

• google-research/rl-reliability-metrics

  The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as well as statistical tools for comparing algorithms and for computing confidence intervals on these metrics.

  Language:Python16311421

• lweitkamp/option-critic-pytorch

  PyTorch implementation of the Option-Critic framework, Harb et al. 2016

  Language:Python1214939

• ai-for-decision-making-tue/Job_Shop_Scheduling_Benchmark_Environments_and_Instances

  A benchmarking repo with various solution methods to various machine scheduling problems

  Language:Jupyter Notebook1003423

• tmdt-buw/schlably

  Official Schlably Repository by the Institute for TMDT

  Language:Python733225

• NREL/graph-env

  Reinforcement learning for combinatorial optimization over directed graphs

  Language:Python389153

• ingambe/End2End-Job-Shop-Scheduling-CP

  An end to end reinforcement learning approach with a reinforcement learning environment modeled as a CP model

  Language:Python25534

• Junyoungpark/pyjssp

  Language:Python20125

• udacity/cd0581-building-a-reproducible-model-workflow-exercises

  Exercise Staters and solutions for cd0581-building-a-reproducible-model-workflow by Giacomo Vianello

  Language:Jupyter Notebook2031786

• Optimization-and-Machine-Learning-Lab/Job-Shop

  Job Shop

  Language:Jupyter Notebook14011

• brandenburg/np-schedulability-analysis

  An implementation of schedulability tests for non-preemptive job sets, for uni- and global multiprocessors, with precedence constraints.

  Language:C++131023

• gnelissen/np-schedulability-analysis

  An implementation of schedulability tests for non-preemptive job sets, for uni- and global multiprocessors, with precedence constraints.

  Language:C++92411

• sunoh-kim/graph-convolutional-reinforcement-learning

  Based on dgn, I reproduced the results in the scenario, Routing, presented in the paper Graph Convolution Reinforcement Learning.

  Language:Python8101

• udacity/nd0821-c3-deploying-a-scalable-pipeline-in-prod-demos

  Demo files for the Course - Deploying a Scalable Pipeline in Production

  Language:Jupyter Notebook86028

• filipcano/safety-shields-delayed

  Language:C++210

• mdelorme2/Scheduling_Sequence_Dependent_Deterioration_Maintenance_Events_Data

  Instances used in "Solution methods for scheduling problems with sequence dependent deterioration and maintenance events"

  2100