Machine Learning
Showing 36 of 1845 projects
A sequential model optimization platform that uses active learning to discover synergistic drug combinations for cancer treatment with minimal screening.
A deep learning model that detects mitosis in breast cancer tumor cell images to assist in tumor proliferation scoring.
Automatically evolves profitable trading strategies using genetic algorithms across 484 factors with walk-forward validation for crypto, A-shares, and US stocks.
An iOS library implementing multi-layer perceptron neural networks with backpropagation for machine learning tasks.
A naive Bayesian classifier implemented in APL for probabilistic text classification between two groups.
A Java scientific computing library providing SciPy-like signal processing, FFT, filtering, and analysis for JVM and Android applications.
A deep learning model that classifies sports videos into 487 different sports activities using a 3D convolutional neural network.
A K-Means clustering algorithm implementation for iOS with multi-dimensional clustering, data mining, and image compression support.
A curated collection of transformers to accelerate and enhance machine learning experimentation with the Steppy library.
Generates synthetic phase contrast or fluorescence microscope images of bacteria for training deep learning segmentation models.
A curated list of the best production-ready Hugging Face models for NLP, vision, audio, and multimodal tasks.
A neural network-based tool that suggests lemma names for Coq verification projects by analyzing serialized statements and elaborated terms.
A human-authored adversarial evaluation dataset for commonsense question-answering, designed to challenge pre-trained models.
Elixir implementation of the CLOPE algorithm for fast clustering of transactional data.
MXNet bindings for the Crystal programming language, enabling deep learning and machine learning development.
A Go library providing comprehensive statistical functions for machine learning and data analysis.
Interactive lecture notes on probabilistic topic models using Jupyter notebooks, covering LDA, Dirichlet processes, and inference methods.
An end-to-end Python system for time series data analysis with in-database machine learning using TDengine.
Generates short audio clips of speech commands and lo-fi instrumental samples using a WaveGAN-based generative adversarial neural network.
A machine learning project for discriminating gender based on handwriting samples from a Kaggle competition.
A scikit-learn pipeline implementing the projection layer of Self-Governing Neural Networks (SGNN) using character n-grams and random hashing.
A tutorial on implementing circuit-centric quantum classifiers using Microsoft's Quantum Development Kit and Q#.
A dataset of ELF files packed with various packers for training machine learning models on executable packing detection.
German language versions of GPT-2, trained on the CC-100 corpus and initialized from English GPT-2 weights.
Ruby bindings for XGBoost, enabling machine learning model inference in Ruby applications.
A comprehensive Ruby gem providing atomic, flexible tools and frameworks for practical machine learning applications.
A comprehensive Ruby gem providing a collection of atomic machine learning tools and frameworks for practical applications.
Provides parsnip model wrappers for H2O machine learning algorithms, enabling integration with the tidymodels ecosystem.
A Crystal implementation of K-Dimensional Trees for efficient nearest neighbor searches in multidimensional spaces.
A Caffe-based implementation of the LaMem model for scoring image memorability using convolutional neural networks.
An embedded deep learning library for Go designed for educational exploration of neural network fundamentals.
A language generation model that creates English text similar to Yelp reviews using a recurrent neural network with LSTM layers.
A coding exercise to refactor messy machine learning code into clean, modular pipelines using the Pipe and Filter design pattern.
python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.
A GitHub Action that monitors PR/issue comments and warns users who use offensive language.
A thread-safe vector database for model inference built on LMDB.
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.