ztchir's Stars
ManimCommunity/manim
A community-maintained Python framework for creating mathematical animations.
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
alexlenail/NN-SVG
Publication-ready NN-architecture schematics.
id-Software/DOOM-3-BFG
Doom 3 BFG Edition
databricks/learning-spark
Example code from Learning Spark book
tensorflow/agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
rlworkgroup/garage
A toolkit for reproducible reinforcement learning research.
google-research/recsim
A Configurable Recommender Systems Simulation Platform
jachiam/cpo
Constrained Policy Optimization
prosysscience/JSSEnv
An OpenAi Gym environment for the Job Shop Scheduling problem.
lace/vg
Vector-geometry toolbelt for 3D points and vectors
RLGC-Project/RLGC
An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)
CoderOneHQ/ultimate-volleyball
3D RL Volleyball environment built on Unity ML-Agents
shakenes/vizdoomgym
OpenAI Gym wrapper for ViZDoom enviroments
Goku-kun/1000-ways-to-print-hello-world-in-python
This is a public repository where the aim is to print "Hello, World!" in all different possible ways.
dss-extensions/DSS-Python
Native, "direct" Python bindings (interface) and misc tools for a custom implementation of OpenDSS (EPRI Distribution System Simulator). Based on CFFI, DSS C-API, aiming for full COM API-level compatibility on Windows, Linux and MacOS, while providing various extensions.
jsacostas/Course-Python-PSCAD
English version of the course to automate PSCAD using Python
piotrszul/spark-tutorial
Tutorial and examples for using Apache Spark
imec-idlab/deep-sea-treasure
Deep Sea Treasure Environment for Multi-Objective Optimization Research
tim-blackmore/launch-monitor-regression
Which golf launch monitor variables are predictive of both distance and accuracy as well as a distance/accuracy trade-off.