GitHub-проекты

Example code and materials that illustrate using neural networks with several hidden layers in SAS.

Example code and materials that illustrate techniques for integrating SAS with other analytics technologies in Java, PMML, Python and R.

Example code and materials that illustrate applications of SAS machine learning techniques.

Multidimensional cluster generation in R.

Two data science utilities in R from Microsoft: 1) Interactive Data Exploration, Analysis, and Reporting (IDEAR) ; 2) Automated Modelling and Reporting (AMR).

Multi-algorithm ensemble learning packages.

maptree - maptree: Mapping, pruning, and graphing tree models. [Deprecated]

Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.

Python-free Rust inference server for NLP models with OpenAI API compatibility and hot model swapping.

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Fast State-of-the-Art Tokenizers optimized for Research and Production

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals

Deep learning in Rust, with shape checked tensors and neural networks

Rust bindings for the C++ API of PyTorch

An open source machine learning framework in Rust ?

Candle is a minimalist ML framework for Rust with a focus on performance (including GPU support) and ease of use.

A Rust library for Self Organising Maps (SOM).

RustNN is a feedforward neural network library. [Deprecated]

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)

a pure-rust machine learning library.

a machine learning framework featuring logistic regression, support vector machines, decision trees and random forests.

deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.

a comprehensive toolkit to build Machine Learning applications with Rust

"The Most Advanced Machine Learning Library In Rust."

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

Arel [Deprecated]

A beautiful graphing toolkit for Ruby.

A plotting library in Ruby built on top of Vega and D3. [Deprecated]

Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby. [Deprecated]

Ruby - R bridge.

Rumale is a machine learning library in Ruby

Creates Random Forest classifiers from PMML files.

Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.

A general classifier module to allow Bayesian and other types of classifications.

JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby. [Deprecated]

[Deprecated]

Some Machine Learning algorithms, implemented in Ruby. [Deprecated]

Curated list of ML related resources for Ruby.

Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing.

Expose libstemmerc to Ruby. [Deprecated]

Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.

Curated link list for practical natural language processing in Ruby.

ESPnet is an end-to-end speech processing toolkit for tasks like speech recognition, translation, and enhancement, using PyTorch and Kaldi-style data processing.

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.

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.

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.

Application-oriented deep reinforcement learning framework addressing real-world decision problems.

An open source robotics benchmark for meta- and multi-task reinforcement learning