Neo-47's Stars
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
mtdvio/every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
cool-RR/PySnooper
Never use print for debugging again
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
github/personal-website
Code that'll help you kickstart a personal website that showcases your work as a software developer.
Wookai/paper-tips-and-tricks
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
tensorflow/agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
huggingface/knockknock
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
sshkhr/awesome-mlss
🤖 Machine Learning Summer School deadlines
Farama-Foundation/HighwayEnv
A minimalist environment for decision-making in autonomous driving
Farama-Foundation/Minigrid
Simple and easily configurable grid world environments for reinforcement learning
ageron/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Kaixhin/Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
flow-project/flow
Computational framework for reinforcement learning in traffic control
kchua/handful-of-trials
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
krocki/dnc
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
araffin/learning-to-drive-in-5-minutes
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
sigmaai/self-driving-golf-cart
Be Driven 🚘
carla-simulator/reinforcement-learning
Reinforcement learning baseline agent trained with the Actor-critic (A3C) algorithm.
samgh/Byte-by-Byte-Solutions
Coding interview questions and solutions
IamWangYunKai/RL-Gallery
A gallery for reinforcement learning, including frameworks, tutorials, papers, implementations, applications, etc.
cjm715/mgym
A collection of multi-agent reinforcement learning OpenAI gym environments
Scitator/catalyst-rl-framework
Catalyst.RL: A Distributed Framework for Reproducible RL Research
david-lindner/safe-grid-gym
A gym interface for AI safety gridworlds created in pycolab.
eringrant/spirl-readings
A collection of reading material for the Workshop on "Structure & Priors in Reinforcement Learning" (SPiRL) at ICLR 2019.
hari-sikchi/gym-gazebo
A toolkit for developing and comparing reinforcement learning algorithms using ROS and Gazebo.