Machine Learning
Showing 36 of 1845 projects
A model-agnostic toolkit for exploring and explaining the behavior of complex machine learning models in R and Python.
A suite of high-performance command line tools for filtering, summarizing, joining, and manipulating large tabular data files.
A lightweight library for building and training graph neural networks using JAX.
Node.js client library for accessing IBM Watson AI services like Assistant, Speech-to-Text, and Natural Language Understanding.
A lightweight library for building and training graph neural networks in JAX, providing graph data structures, utilities, and model implementations.
A curated list of awesome links, software libraries, and resources for robotics development.
A modern, minimal, and high-performance .NET library for reading and writing CSV/TSV files with zero allocations and SIMD-accelerated parsing.
A curated collection of AI guidelines, principles, ethics frameworks, regulations, and practical tools for responsible AI development.
A Python client library for interacting with IBM Watson AI services, available via pip as ibm-watson.
An example Android project demonstrating how to build and integrate TensorFlow for object detection using the camera.
Metric learning algorithms in Python
Metric learning algorithms in Python
A JAX-based library providing reinforcement learning building blocks for implementing agents, supporting both on-policy and off-policy learning.
A deep learning framework for Julia with GPU support and automatic differentiation using dynamic computational graphs.
A deep learning framework for feature learning directly from point clouds using X-Conv operations, achieving state-of-the-art results in classification and segmentation.
A MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications.
A curated list of awesome Python frameworks, libraries, software, and resources for chemistry and cheminformatics.
An open-source differentiable dense SLAM library for PyTorch, enabling gradient flow from map outputs to sensor inputs.
Machine learning for NeuroImaging in Python
A neural network built in Swift Playgrounds that learns to recognize hand-drawn emojis from 8x8 pixel images.
A curated list of awesome CAPTCHA libraries for generation and tools for cracking them.
A curated list of awesome CAPTCHA libraries for generation and tools for cracking them.
A repository implementing Deep Reinforcement Learning and Supervised Learning methods with a simulated financial market environment for quantitative trading.
A Python research toolkit for implementing and visualizing particle swarm optimization algorithms.
A Python library for evaluating natural language generation models using multiple unsupervised automated metrics.
A curated collection of TensorFlow Lite models, sample apps, tools, and learning resources for mobile and edge AI development.
A PHP Chinese text segmentation module offering precise, full, and search engine modes with support for Traditional Chinese and CJK languages.
A Pythonic deep learning framework built on NumPy with optional CUDA acceleration.
A fast, extensible, multi-platform C# library for implementing genetic algorithms in .NET applications.
A comprehensive natural language processing framework for Ruby with support for text extraction, parsing, and machine learning.
A curated list of articles covering software engineering best practices for building production machine learning applications.
A curated collection of open-source computer vision pre-trained models across TensorFlow, Keras, PyTorch, Caffe, and MXNet frameworks.
The most accurate natural language detection library for Go, excelling with short text and mixed-language content.
A modular neural network package for Torch providing building blocks for creating and training deep learning models.
A modular deep reinforcement learning framework in PyTorch for research and application, featuring ready-to-use algorithms and reproducible experiments.
A free software AI accelerator that speeds up scikit-learn applications by 10-100x on CPUs and GPUs with no code changes.
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