mburakg's repositories
agents
TF-Agents is a library for Reinforcement Learning in TensorFlow
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Deep-RL-Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
garage
A framework for reproducible reinforcement learning research
gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
highway-env
An environment for behavioral planning tasks in autonomous driving
ksync
Sync files between your local system and a kubernetes cluster.
kubernetes-hyperparam-exp
This repository contains code and config files that accompany the blog post:
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
modular_rl
Implementation of TRPO and related algorithms
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
spinningup
An educational resource to help anyone learn deep reinforcement learning.
streamlit
Streamlit — The fastest way to build custom ML tools
trfl
TensorFlow Reinforcement Learning
vertex-ai-samples
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud