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Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Data Science Using Python

Repo for the Deep Reinforcement Learning Nanodegree program

[ICCV 2019] Monocular depth estimation from a single image

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

A replica of the AlphaZero methodology for deep reinforcement learning in Python

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…

Search photos on Unsplash using natural language

Search inside YouTube videos using natural language

RL implementations

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Train reinforcement learning agent using ML-Agents with Google Colab.

Repo for Google Summer of Code Open Data Project 2019