Machine Learning
Showing 36 of 1845 projects
A Swift library providing neural networks, machine learning algorithms, and AI data structures for iOS and macOS development.
A curated list of resources for understanding, measuring, and mitigating fairness issues in artificial intelligence and machine learning systems.
A JAX-powered probabilistic programming library focused on performant sampling methods for Bayesian inference on CPU, GPU, and TPU.
A scikit-learn compatible Python library for probabilistic regression, survival analysis, and probability distributions.
A pure Go package for running inference with pre-trained Transformer models from Hugging Face, enabling NLP tasks without external languages.
A JAX library for second-order optimization of neural networks using the K-FAC curvature approximation algorithm.
A lightweight Swift library for tensor calculations with TensorFlow-like APIs, enabling ML model inference.
A deep learning architecture using stacked residual bidirectional LSTM cells with TensorFlow for human activity recognition from sensor data.
A Julia package for Gaussian process modeling with support for exact inference, MCMC sampling, and non-Gaussian likelihoods.
Automated infrastructure setup tool for training machine learning algorithms on AWS.
An OCaml kernel for Jupyter notebooks, providing an OCaml REPL with markdown/HTML documentation, LaTeX, and image embedding.
A scalable machine learning library that runs on Apache Hive, Spark, and Pig for distributed ML directly in SQL.
A collaborative filtering recommendation engine library for Go, implementing item-based and user-based approaches.
A curated collection of research papers tracking the frontier of AI-based protein design methods and applications.
A Java port of LIBLINEAR for large-scale regularized linear classification, regression, and outlier detection.
Tensorflow bindings for the Elixir programming language, enabling machine learning inference and tensor operations.
A parallel Monte Carlo and machine learning library for scientific inference, available in Python, MATLAB, Fortran, C++, and C.
A Julia interface for XGBoost, providing efficient distributed gradient boosting for regression, classification, and ranking.
A TensorFlow implementation of fastText for embedding-based text classification with support for character ngrams and distributed training.
A simple, well-tested Go client library for OpenAI's GPT-3.5, GPT-4, and ChatGPT APIs with minimal dependencies.
A Node.js library implementing Support Vector Machines (SVM) for classification and regression tasks.
A Kotlin library for extracting path-based code representations and ASTs from multiple languages to prepare code for machine learning models.
A Torch package for creating and visualizing complex neural network architectures using graph-based computation.
A centralized Python framework for agricultural machine learning, providing access to public datasets, benchmarks, pretrained models, and synthetic data generation.
A Terraform plugin for managing machine learning compute resources across AWS, GCP, Azure, and Kubernetes with spot instance recovery and auto-termination.
A Python framework for building and deploying machine learning APIs with a focus on simplicity and performance.
LDA topic modeling for node.js
An idiomatic Clojure dataframe library that runs on Apache Spark, providing a seamless interface for data processing and machine learning.
An R package for automatic optimal predictor ensembling via cross-validation with dozens of machine learning algorithms.
An unsupervised machine learning approach to learn vector representations of molecular substructures for cheminformatics.
A C++ toolbox providing multiple locality-sensitive hashing algorithms for large-scale approximate nearest neighbor search, with Python and MATLAB bindings.
A TensorFlow-based object detection model that localizes and identifies multiple objects in images using SSD MobileNet V1 or Faster R-CNN ResNet101.
An application-oriented Deep Reinforcement Learning framework for real-world decision problems, covering simulation to deployment.
A convolutional neural network for CAPTCHA recognition using Keras and PyTorch.
A PyTorch Vision-like library for downloading, manipulating, and loading event-based/spike-based neuromorphic datasets.
A JAX library for automatically generating equivariant neural network layers for arbitrary symmetry groups via constraint solving.
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