Machine Learning
Showing 36 of 1845 projects
OCaml bindings for TensorFlow, enabling machine learning and neural network development in a functional programming environment.
A Clojure library for dynamic neural network graphs with pluggable tensor backends, inspired by PyTorch.
A deep learning-based solution for automatically recognizing and solving 12306 railway website captchas.
TensorFlow and NumPy implementations of HMM Viterbi and forward/backward algorithms for sequence modeling.
Simple machine learning library / 簡單易用的機器學習套件
Free online version of the 'Applied Machine Learning Using mlr3 in R' textbook, built with Quarto.
A Python library for fast random access to chemical descriptors and molecule indices, optimized for machine learning workflows.
A decentralized hyperparameter optimization framework for Go, inspired by Optuna, supporting Bayesian optimization and evolution strategies.
A massively parallel library for training self-organizing maps on multicore CPUs, GPUs, and clusters with support for dense and sparse data.
Ruby language bindings for the LIBSVM library, enabling support vector machine (SVM) classification and regression in Ruby.
A Python library providing comprehensive metrics for fair and thorough evaluation of recommender systems.
A Python devkit for loading, exploring, and manipulating the PandaSet, a large-scale autonomous driving dataset with LiDAR, camera, and annotations.
A curated, categorized collection of books about the R programming language for data science, statistics, and visualization.
A curated, categorized collection of books about the R programming language for data science, statistics, and visualization.
🐤 AI chat & search summaries in DuckDuckGo, powered by the latest LLMs
A Python library for Bayesian optimization using GPflow and TensorFlow, designed for optimizing expensive black-box functions.
A comprehensive scientific computing and AI/ML library in pure Rust, offering SciPy-compatible APIs with 10-100x performance gains.
A C++ neural network library for Node.js optimized for large datasets and multi-threaded training.
A fast Evolution Strategy implementation in Python
A JAX-based library for federated learning simulations that emphasizes ease-of-use in research.
A large-scale image dataset for self-supervised pretraining without humans, designed to reduce privacy concerns.
A high-performance, large-scale statistical machine learning library written in Common Lisp.
A Flutter widget that displays a camera preview and performs real-time ML vision recognition using Firebase ML Vision.
A C library for product recommendations using collaborative filtering with fast performance and minimal dependencies.
A curated collection of resources on adversarial examples in deep learning, covering attacks, defenses, and applications.
A collection of pretrained deep learning models (StyleGAN2, GPT2, VGG, ResNet) for the Jax/Flax ecosystem.
A distributed Spark/Scala implementation of Isolation Forest and Extended Isolation Forest algorithms for scalable unsupervised outlier detection.
An open-source Python library for detecting concept and data drift in machine learning systems.
A web interface and REST API for classification and regression using Support Vector Machine (SVM) and Support Vector Regression (SVR) algorithms.
Tools for compiling and using the Maluuba NewsQA dataset, a machine reading comprehension dataset based on CNN articles.
A lightweight neural network library for Deno with CPU, GPU, and WASM backends, designed for serverless and edge environments.
A fast and flexible Rust library for implementing genetic algorithms, neuroevolution, and genetic programming.
An end-to-end Python outlier detection system with database support, automated machine learning, and unified APIs for statistical, ML, and deep learning models.
A Python library for feature selection using nature-inspired wrapper algorithms like particle swarm, grey wolf, and genetic optimization.
A joblib backend that enables Python parallel computing tasks to run on Apache Spark clusters.
Ankh is a state-of-the-art protein language model for general-purpose protein modeling and engineering tasks.
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