Machine Learning
Showing 36 of 1845 projects
A PyTorch and TorchDrug based deep learning library for drug pair scoring, predicting interactions, side effects, and synergy.
A scalable library for exploring, validating, and monitoring machine learning data, integrated with TensorFlow and TFX.
A collection of tutorials and resources to help developers learn JAX, Flax, and Haiku for machine learning.
An open-source ML-powered analytics engine for automated outlier detection and root cause analysis on high-dimensional metrics.
An open-source ML-powered analytics engine for automated outlier detection and root cause analysis on high-dimensional metrics.
A comprehensive, high-performance library implementing 30+ Evolution Strategies in JAX for scalable optimization on modern hardware.
TensorFlow implementation of arbitrary order (≥2) Factorization Machines for classification and regression tasks.
An object-oriented machine learning framework built on JAX, designed for simplicity and readability in research.
A scikit-learn compatible hyperparameter optimization tool using evolutionary algorithms instead of grid search.
An open-source toolkit for auditing bias and experimenting with fairness methods in machine learning models.
A curated list of resources for Question Answering (QA), covering machine learning, deep learning, datasets, and research.
A pre-trained BERT model designed for DNA sequence analysis, enabling genome understanding tasks like classification and motif discovery.
A lightweight C library for building and training small to medium artificial neural networks with minimal dependencies.
A probabilistic programming language built on Scala for creating rich probabilistic models and performing automated reasoning.
JAX (Flax) implementations of reinforcement learning algorithms for continuous action spaces, designed for research.
A machine learning tool that ranks strings by relevance for malware analysis, helping analysts prioritize suspicious strings.
A pure-Java/C# machine learning framework for neural networks, genetic programming, and classic ML algorithms with simple adaptable source code.
A deep learning toolkit for computational chemistry and drug design research with PyTorch backend.
A high-performance, functional tabular data processing library for Clojure, similar to Python's Pandas or R's data.table.
A JAX-powered library for solving large-scale optimal transport problems, including matching, barycenters, and neural approximations.
Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.
TensorFlow binding for Apache Spark DataFrames, enabling TensorFlow program execution on Spark data.
A Ruby library for text classification with Bayesian, LSI, logistic regression, k-NN, and TF-IDF algorithms.
A benchmark for evaluating protein language models through five biologically relevant semi-supervised learning tasks.
A collection of CAPTCHA-breaking implementations using OpenCV, Tesseract OCR, and machine learning algorithms.
A Rust numeric library for linear algebra, numerical analysis, statistics, and machine learning with high performance and syntax inspired by R, MATLAB, and Python.
A lightweight Ruby playground with clean, readable implementations of core AI algorithms for learning and experimentation.
A lightweight Ruby playground with clean implementations of core AI algorithms for learning and experimentation.
A tool to package, serve, and deploy any ML model on any platform using a GitOps approach.
A fast GPU-accelerated library for training Gradient Boosting Decision Trees (GBDT) and Random Forests.
A modern C++ toolkit for text retrieval and analysis, featuring indexing, ranking, topic modeling, classification, and language models.
A curated collection of Monte Carlo tree search research papers with implementations from top AI conferences.
Official implementation of the LargeVis algorithm for visualizing large-scale, high-dimensional data and networks.
A fast and flexible deep learning system with NumPy-like NDarray interface and easy multi-GPU support.
A Cookiecutter template for generating production-ready FastAPI projects with machine learning, uv, GitHub Actions, and Pytest.
An open-source machine learning system for training autonomous RC cars using computer vision and neural networks.
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