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Google
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Starred repositories
Header-Only C++ Library for Graph Representation and Algorithms
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
An Open Source Machine Learning Framework for Everyone
🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
These are the best resources for System Design on the Internet
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
System design interview for IT companies
Classical equations and diagrams in machine learning
A cheatsheet of modern C++ language and library features.
Subset of Data Variational Inference for Deep Gaussian Process Model
A Language for Interactive Cooperative Agents
This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in…
An open-source implementation of the AlphaGoZero algorithm
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
A curated list of practical financial machine learning tools and applications.
Hands-on Deep Reinforcement Learning, published by Packt
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Accelerated Methods for Deep Reinforcement Learning
Solutions of Reinforcement Learning, An Introduction
mlpack: a fast, header-only C++ machine learning library
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Learn how to develop, deploy and iterate on production-grade ML applications.
Design patterns implemented in Java
Preparation links and resources for system design questions
Tensors and Dynamic neural networks in Python with strong GPU acceleration