Stars
RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Machine Learning Toolkit for Kubernetes
A curated list of awesome awesomeness
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
An educational resource to help anyone learn deep reinforcement learning.
Generate embeddings from large-scale graph-structured data.
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
😎 Awesome lists about all kinds of interesting topics
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Curated list of project-based tutorials
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
Master the command line, in one page
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A curated list of awesome Go frameworks, libraries and software
A bunch of links to blog posts, articles, videos, etc for learning Rust
a fast, scalable, multi-language and extensible build system
C++ based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
Protocol Buffers - Google's data interchange format
C++ tensors with broadcasting and lazy computing
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Caffe2 is a lightweight, modular, and scalable deep learning framework.