Deep Learning
Showing 36 of 937 projects
A Python library for performing data science and machine learning on data without direct access, using remote datasites.
A TensorFlow 2 library providing simple, composable abstractions for machine learning research via the snt.Module concept.
A PyTorch library providing efficient, reusable components for deep learning with 3D data, including mesh operations and differentiable rendering.
An end-to-end speech processing toolkit for speech recognition, text-to-speech, translation, enhancement, and more.
A Python library for flexible and readable tensor operations across numpy, PyTorch, JAX, TensorFlow, and other frameworks.
A modular deep learning library providing a higher-level API for TensorFlow to speed up experimentation.
A Python library for user-friendly forecasting and anomaly detection on time series, from ARIMA to deep neural networks.
A comprehensive collection of machine learning and deep learning models, trading agents, and simulations for stock market forecasting.
An AutoML library for deep learning that automates model selection and hyperparameter tuning using Keras and TensorFlow.
A collection of beginner-friendly TensorFlow tutorials with accompanying YouTube videos covering deep learning fundamentals and advanced topics.
Deep Lake is a multimodal data lake and vector store optimized for AI, enabling scalable data management, retrieval, and training for LLM and deep learning applications.
An AI-powered WiFi security auditing tool that uses deep reinforcement learning to optimize capture of WPA handshakes.
A scientific computing framework with wide support for machine learning algorithms, built around multi-dimensional tensor operations.
A flexible, scalable deep probabilistic programming library built on PyTorch for universal probabilistic modeling.
A flexible, scalable deep probabilistic programming library built on PyTorch for universal representation of computable probability distributions.
An interactive visualization system for learning how Convolutional Neural Networks work through hands-on exploration.
A Python library for building production-ready model inference APIs, job queues, and multi-model serving systems for AI applications.
A curated list of practical financial machine learning tools, applications, and research repositories.
A PyTorch-based open-source framework for deep learning in healthcare imaging, providing domain-specific tools and workflows.
A comprehensive guide to TensorFlow 2.x covering fundamentals, best practices, and advanced topics for efficient machine learning development.
AlphaFold 3 is an AI model that predicts the 3D structures of proteins and their interactions with other biomolecules like DNA, RNA, and ligands.
WebGL-accelerated machine learning library for JavaScript with linear algebra and automatic differentiation.
A lightweight, modular, and scalable deep learning framework built on the original Caffe.
An end-to-end deep learning library focused on clear code and speed, used for research and production by Google Brain.
An end-to-end deep learning library focused on clear code, speed, and research, built by Google Brain.
A library that enables PyTorch, Chainer, MXNet, and NumPy users to write TensorBoard events with simple function calls.
A Python NLP library from Stanford for tokenization, sentence segmentation, NER, and dependency parsing across 60+ languages.
Automatically differentiate native Python and NumPy code for gradient-based optimization and machine learning.
A curated list of papers, code, and resources for object detection algorithms in computer vision.
An open-source, in-memory platform for distributed and scalable machine learning with support for a wide range of algorithms and big data technologies.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.
A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.
A customizable 3D platform based on Quake III for agent-based AI and deep reinforcement learning research.
A neural network library for JAX designed for flexibility, enabling researchers to experiment with new training forms by modifying training loops.
A neural network library for JAX designed for flexibility, enabling researchers to experiment with new training forms by modifying training loops.
A suite of web applications for inspecting and understanding TensorFlow runs and graphs.
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