Machine Learning
Showing 36 of 1845 projects
A curated collection of tools, tutorials, models, and resources for mastering TensorFlow.js.
A flexible Rust framework for building and running genetic algorithm simulations for optimization and search problems.
A Swiss knife collection of utility functions for developing and evaluating machine learning algorithms in Julia.
A TensorFlow implementation of neural text generation from structured data, converting tabular information into natural language summaries.
A Python package providing gradient-based optimizers specifically designed for machine learning scenarios.
A fork of OpenAI's Whisper speech recognition models optimized with OpenVINO backend for faster CPU inference.
Node.js bindings for the Fast Artificial Neural Network Library (FANN), enabling neural network development in JavaScript.
A handwriting gesture recognizer for tvOS that enables number input using the Siri Remote touchpad.
A Torch-based deep learning project for breaking CAPTCHA systems using CNN and RNN architectures.
A Python machine learning and informatics suite for analyzing, mining, and modeling chemical and materials data.
A collection of iOS sample apps demonstrating Generative AI capabilities including OpenAI, local LLMs, Stable Diffusion, and speech recognition.
A Clojure library for machine learning and statistical inference designed for production deployment and composable algorithms.
A collection of examples demonstrating how to use Comet.ml for machine learning experiment tracking across various Python frameworks.
A JAX-powered reimplementation of MiniGrid offering over 1000x speedup for reinforcement learning experiments.
A FlashAttention 2 implementation for JAX with block-wise document mask optimization and context parallelism for efficient long-sequence training.
A Scala/Spark library for measuring fairness and mitigating bias in large-scale machine learning workflows.
A curated collection of academic papers, articles, and resources on credit scoring and credit risk modeling techniques.
Sentiment Classification using Word Sense Disambiguation
Interactive exploration and analysis software for large, high-dimensional image-derived biological data with supervised machine learning.
An R package for developing traditional credit risk scorecard models with functions for data preprocessing, WOE binning, variable selection, and performance evaluation.
A Go library implementing sparse matrix formats for linear algebra, compatible with Gonum and supporting scientific/ML applications.
A collection of tools and scripts to automate microscopy workflows in ZEN Blue using Python, APIs, and AI tools.
A simple and powerful neural network library for Python with a MATLAB-like API and flexible configuration.
Julia package providing easy access to 700+ standard R datasets for data analysis and statistical learning.
A TensorFlow C API wrapper enabling machine learning in server-side Swift applications.
A high-performance tensor library for the V programming language, providing n-dimensional data structures and linear algebra operations.
A Swift library for programmatically creating and exporting CoreML models using a Swift-native DSL and API.
A JRuby gem that provides Ruby-friendly access to Apache Mahout's scalable machine learning capabilities for recommendations.
A Python library that builds neural networks with minimal boilerplate code for PyTorch and TensorFlow.
A genetic programming platform for Python with TensorFlow for fast CPU and GPU symbolic regression and classification.
A neuroevolution-based trading bot that evolves populations of neural networks to trade cryptocurrency using technical analysis.
Machine Learning and Digital Signal Processing library for MicroPython, enabling TinyML on microcontrollers without C code.
A core scientific computing library for Crystal providing n-dimensional tensors, linear algebra, GPU acceleration, and automatic differentiation.
Unofficial JAX/Flax implementations of deep learning research papers for vision transformers and other architectures.
A Python implementation of individual conditional expectation plots for visualizing machine learning model predictions.
A machine learning tool for quantitative risk analysis of Android apps by analyzing declared and actual permission usage.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.