Machine Learning
Showing 36 of 1845 projects
A fast neural network framework for iOS and macOS using Swift and Metal for GPU acceleration.
A collection of open-source machine learning and quantitative analysis models implemented in TensorFlow and PyTorch.
A reinforcement learning framework for de novo drug design that generates novel molecular structures with desired properties.
A tool for automatic analysis of malware behavior using machine learning to identify, cluster, and classify malicious software.
Python implementations of various topic modeling algorithms including LDA, collaborative topic models, and hierarchical Dirichlet processes.
A Julia package providing comprehensive clustering algorithms and validation metrics for data analysis.
A high-level machine learning library for Go with a Keras-like API, built on Gorgonia.
A Python toolkit for probabilistic password guessing and analysis using Probabilistic Context-Free Grammar (PCFG) models.
An easy-to-use C# deep learning library with support for multiple backends including TensorFlow, PyTorch, and CUDA/OpenCL.
A Clojure library for high-performance Bayesian data analysis and machine learning on the GPU.
A Python toolbox for auditing machine learning models to detect and quantify bias in black-box predictions.
Predicts Bitcoin price trends using an LSTM-RNN with technical indicators for automated trading via the Binance API.
A GitHub scanning tool that identifies hardcoded credentials and filters false positives using machine learning models.
A Python package for training PyTorch neural networks using variational inference for Bayesian deep learning.
A Go implementation of neural networks including BackPropagation, RBF, and Perceptron networks with parallel processing capabilities.
A framework for building scalable machine learning models in Hadoop using the Scalding DSL.
A command-line utility that uses convolutional neural networks to search and filter videos based on objects and places that appear in them.
A deprecated Node.js sample application demonstrating IBM Watson Visual Recognition service features.
A hardware-accelerated Python library for running Quality-Diversity and neuroevolution algorithms in minutes instead of days.
Open-source platform for network security analytics using flow and packet analysis to detect unknown threats at cloud scale.
∞ Generate endless answers from all-knowing ChatGPT (on any topic!)
An intelligent data search and enrichment library for machine learning that automatically finds and adds relevant external features to ML pipelines.
A modular Python framework for exploratory analysis of heterogeneous epidemiological and electronic health record (EHR) data.
Deploy TensorFlow graphs for fast evaluation and export to environments without TensorFlow, using NumPy.
An open-source toolkit for building end-to-end trainable task-oriented dialogue models with neural networks.
A reinforcement learning library for Go providing agents, composable tooling, and visualization for solving environment challenges.
A collection of large-scale datasets for source code analysis and machine learning on code, including GitHub repositories, identifiers, and commit data.
A Python library for interpretable text classification using the SS3 model, with built-in visualization tools for explainable AI.
An extremely lightweight Gaussian Process library for Python built on JAX with GPU acceleration and automatic differentiation.
Transform RSS, Atom, and JSON feeds into a RESTful API with machine learning enrichment.
Official implementation of a 3D equivariant diffusion model for generating drug-like molecules that bind to specific protein targets and predicting their binding affinity.
A minimal implementation of Deep Convolutional Generative Adversarial Networks (DCGAN) using TensorLayerX for generating realistic images.
A TensorFlow implementation of End-To-End Memory Networks with a scikit-learn-like interface for bAbI tasks.
A feedforward neural network library for Rust implementing backpropagation training.
A CUDA backend for Torch7 that enables GPU-accelerated tensor operations with a familiar Torch API.
A Swift library providing neural networks, machine learning algorithms, and AI data structures for iOS and macOS development.
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