SLM Lab
github.com
Modular Deep Reinforcement Learning framework in PyTorch.
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Modular Deep Reinforcement Learning framework in PyTorch.
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
A toolkit for reproducible reinforcement learning research
An open source robotics benchmark for meta- and multi-task reinforcement learning
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
RLlib is an industry level, highly scalable RL library for tf and torch, based on Ray. It's used by companies like Amazon and Microsoft to solve real-world decision making problems at scale.
DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, and RND in exploration problems.
Gym4ReaL is a comprehensive suite of realistic environments designed to support the development and evaluation of RL algorithms that can operate in real-world scenarios. The suite includes a diverse set of tasks exposing RL algorithms to a variety of practical challenges.
ESPnet is an end-to-end speech processing toolkit for tasks like speech recognition, translation, and enhancement, using PyTorch and Kaldi-style data processing.
Curated link list for practical natural language processing in Ruby.
Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
Expose libstemmerc to Ruby. [Deprecated]
Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing.
Curated list of ML related resources for Ruby.
Some Machine Learning algorithms, implemented in Ruby. [Deprecated]
[Deprecated]
JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby. [Deprecated]
A general classifier module to allow Bayesian and other types of classifications.
Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.
Creates Random Forest classifiers from PMML files.
Rumale is a machine learning library in Ruby
Ruby - R bridge.
Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby. [Deprecated]
A plotting library in Ruby built on top of Vega and D3. [Deprecated]
A beautiful graphing toolkit for Ruby.
Arel [Deprecated]
Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash. Demo/Search for a list
"The Most Advanced Machine Learning Library In Rust."
a comprehensive toolkit to build Machine Learning applications with Rust
deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
a machine learning framework featuring logistic regression, support vector machines, decision trees and random forests.
a pure-rust machine learning library.
open source framework for machine intelligence, sharing concepts from TensorFlow and Caffe. Available under the MIT license. [[Deprecated]](https://medium.com/@mjhirn/tensorflow-wins-89b78b29aafb#.s0a3uy4cc)
RustNN is a feedforward neural network library. [Deprecated]
A Rust library for Self Organising Maps (SOM).
Candle is a minimalist ML framework for Rust with a focus on performance (including GPU support) and ease of use.