Machine Learning
Showing 36 of 601 projects
A language and runtime that optimizes performance of data-intensive applications by lazily building and optimizing computations across libraries.
An open-source computational neuroscience course with tutorials, exercises, and interactive materials for students and researchers.
A PyTorch library for spatiotemporal signal processing with dynamic and temporal graph neural networks.
Transpile trained machine learning models into native code (Java, C, Python, Go, etc.) with zero dependencies.
A free, state-of-the-art library and toolkit for named entity extraction and binary relation detection from text.
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
An easy-to-use, scalable hyperparameter optimization framework for Keras models with define-by-run syntax and built-in search algorithms.
A Swift community-driven package for interacting with the OpenAI API and other compatible providers.
A lightweight deep learning library with a functional API for composing models, compatible with PyTorch, TensorFlow, and MXNet.
A curated list of research papers, datasets, and resources for anomaly detection in time-series, video, and image data.
A collection of Python notebooks and tools for quantitative finance research, including backtesting, machine learning, and portfolio optimization.
A curated list of robotics libraries, simulators, and software for developers and researchers.
A curated list of robotics libraries, simulators, and software for developers and researchers.
A TensorFlow-based CNN solution for recognizing character-based CAPTCHAs, providing training, validation, and API modules.
Multi-dimensional arrays (tensors) and numerical definitions for Elixir, enabling machine learning and scientific computing.
An audio library for PyTorch providing data manipulation, transformations, and dataset loaders for machine learning applications.
A JAX library for neural networks and scientific computing with PyTorch-like syntax and full ecosystem compatibility.
An interactive online learning platform for computer vision with a comprehensive Chinese ebook, code, and community.
An open-source, AI-first data notebook that extends Jupyter with a sleek UI, reactive execution, and native data integrations.
A deep learning project using Keras to build convolutional and recurrent neural networks for high-accuracy captcha recognition.
A Python library that extends OpenAI's Whisper to provide accurate word-level timestamps and confidence scores for multilingual speech recognition.
An extensible open-source toolkit for detecting, mitigating, and explaining bias in machine learning datasets and models.
Convert Caffe deep learning models to TensorFlow format for deployment and inference.
A comprehensive Python library for solving optimal transport problems with solvers for linear, entropic, Gromov-Wasserstein, and unbalanced OT, plus machine learning applications.
A fast, customizable Git repository analysis engine for extracting advanced insights from commit history.
A deep learning framework for research, development, and production with flexible Python API and C++ core.
A TensorFlow library for Learning-to-Rank (LTR) techniques, providing loss functions, metrics, and models for ranking tasks.
A toolkit for distributed machine learning featuring parameter server framework, topic modeling, gradient boosting, and word embedding.
An accessible, general-purpose platform for understanding, managing, deploying, and automating adaptive experiments using Bayesian and bandit optimization.
A Python toolkit for working with the nuScenes and nuImages autonomous driving datasets, providing data loading, visualization, and evaluation utilities.
A curated collection of academic papers, code, and resources for learning with noisy labels in machine learning.
A comprehensive collection of machine learning algorithms and mathematical utilities implemented in JavaScript for browser and Node.js.
Docker image providing the Python environment used by Kaggle Notebooks for data science competitions.
A benchmarking suite comparing the performance of public convolutional neural network implementations across multiple deep learning frameworks.
A large collection of real-world system log datasets for AI-driven log analytics research.
A lightweight probabilistic programming library using NumPy and JAX for autograd and JIT compilation to GPU/TPU/CPU.
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