Machine Learning
Showing 36 of 1845 projects
An interactive online learning platform for computer vision with a comprehensive Chinese ebook, code, and community.
An extensible open-source toolkit for detecting, mitigating, and explaining bias in machine learning datasets and models.
Sequential model-based optimization with a `scipy.optimize` interface
A Python library that extends OpenAI's Whisper to provide accurate word-level timestamps and confidence scores for multilingual speech recognition.
A comprehensive Python library for solving optimal transport problems with solvers for linear, entropic, Gromov-Wasserstein, and unbalanced OT, plus machine learning applications.
A deep learning project using Keras to build convolutional and recurrent neural networks for high-accuracy captcha recognition.
A fast, customizable Git repository analysis engine for extracting advanced insights from commit history.
Convert Caffe deep learning models to TensorFlow format for deployment and inference.
A large collection of real-world system log datasets for AI-driven log analytics research.
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 library for debugging/inspecting machine learning classifiers and explaining their predictions
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 curated collection of hands-on data science project ideas and resources for learning machine learning and AI concepts.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
A toolkit for distributed machine learning featuring parameter server framework, topic modeling, gradient boosting, and word embedding.
Docker image providing the Python environment used by Kaggle Notebooks for data science competitions.
A lightweight probabilistic programming library using NumPy and JAX for autograd and JIT compilation to GPU/TPU/CPU.
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.
A benchmarking suite comparing the performance of public convolutional neural network implementations across multiple deep learning frameworks.
A JAX-native library implementing Monte Carlo tree search algorithms like AlphaZero and MuZero for reinforcement learning research.
A curated list of key papers and resources on implicit neural representations, a novel approach to parameterizing signals as continuous functions.
A Python library for explaining machine learning models using black-box, white-box, local, and global interpretation methods.
A curated list of network embedding techniques, including papers, implementations, and related resources for graph representation learning.
A pure Python library for survival analysis, modeling time-to-event data with censoring.
A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.
A JavaScript application framework for machine learning and its engineering, designed for Web developers.
TensorFlow implementation of Deep Q-Networks (DQN) for human-level control in reinforcement learning environments.
A Python library for defining portable, modular, and testable data transformation DAGs with built-in lineage and metadata.
A lightweight Python library for creating portable, expressive, and testable data transformation DAGs with built-in lineage and metadata.
An open-source deep learning API and server written in C++ that supports multiple backends like PyTorch, TensorRT, and TensorFlow for training and inference.
A general-purpose GPU compute framework built on Vulkan for cross-vendor graphics cards, enabling high-performance data processing and machine learning.
A Python library for outlier, adversarial, and drift detection in machine learning models, supporting tabular, text, image, and time series data.
A Python library for loading, shaping, embedding, and exploring large graphs with GPU-accelerated visualization and analytics.
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