Machine Learning
Showing 36 of 1845 projects
A deep learning model that reads IRCTC captchas with 98% accuracy, demonstrating their vulnerability to automated booking.
A Python toolbox for solving optimal transport problems with JAX-powered computational efficiency.
CUDA backend implementation for Torch's neural network package, enabling GPU acceleration for deep learning models.
A peer-to-peer SIP honeypot and fraud detection tool that collects and shares malicious IP addresses and phone numbers.
A generic numerical library for D providing sparse tensors, linear algebra, and machine learning components.
A proof-of-concept neural network library in Rust with implementations for MNIST digit recognition and char-rnn LSTM models.
A Python library that enables mathematical operations on JAX pytrees, allowing numerical algorithms to work directly with complex nested data structures.
A Clojure library for GPU-accelerated computing using NVIDIA CUDA, enabling high-performance parallel processing.
A Python toolkit for text-focused data science on medium-sized datasets, bridging memory and cluster-scale processing.
A Python library for building lazy data processing and machine learning workflows that handle datasets larger than memory.
🖥️ Award-winning extension to enhance ChatGPT with wide/full/tall-screen + spamblock modes. Also works on poe.com!
A semi-automated pipeline for instance-aware cell segmentation, tracking, and migration analysis in phase contrast microscopy using Mask R-CNN.
A Python package for automated univariate and bivariate data analysis and visualization to streamline machine learning workflows.
A Go library implementing collaborative filtering algorithms for recommendation systems, including ALS, Bayesian, and similarity-based approaches.
A collection of Node-RED examples and labs for integrating IBM Watson Developer Cloud services.
A TensorFlow CNN implementation for Chinese character recognition, achieving 92.5% top-1 accuracy with batch normalization.
A Scala and JVM machine learning toolbox for research, education, and industry with an interactive REPL and end-to-end pipelines.
A Go library implementing essential machine learning algorithms including linear regression, logistic regression, and neural networks.
A convolutional neural network model built with Keras for recognizing captcha images generated by the Laravel Captcha library.
A layer library for JAX-based machine learning projects, optimized for large-scale ML.
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
A pure Crystal machine learning library for building and training neural networks with CPU/GPU support and PyTorch compatibility.
A lightweight command-line tool for performing arithmetic and symbolic math operations directly in the terminal.
A collection of optimization algorithms and logging utilities for Torch machine learning models.
A Python library for logging ML metrics, parameters, and models in simple file formats, compatible with DVC and Git.
A lightweight multilayer perceptron neural network library for MicroPython, designed for embedded systems like ESP32 and Pycom modules.
A T5-based model for bidirectional translation between molecular structures (SMILES) and natural language descriptions.
A native Go implementation of the Porter Stemming algorithm for NLP and machine learning tasks.
A curated collection of papers, methods, critiques, and resources for Explainable AI (XAI) and Interpretable Machine Learning.
A Torch7 package providing extended neural network modules, criterions, and utilities for deep learning research.
A collection of mathematical functions for Elixir focused on statistics, linear algebra, and machine learning.
A Ruby SDK for integrating applications with Apache PredictionIO's Event Server and Engine APIs.
A simple, flexible, and extensible object-oriented template for PyTorch projects.
A CLI tool for interacting with OpenAI's ChatGPT service directly from the terminal.
A computational pipeline that predicts drug-target interactions by learning low-dimensional vector representations from heterogeneous biological networks.
A collection of Python applications demonstrating various use cases of ChatGPT, including chatbots, automation, and voice assistants.
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.