Deep Learning
Showing 36 of 415 projects
An open course on reinforcement learning with a practical focus, featuring hands-on labs and comprehensive materials for both online and on-campus students.
An open course on reinforcement learning with a practical focus, featuring hands-on labs and comprehensive materials for both online and on-campus students.
A high-performance automatic speech recognition toolkit from Facebook AI Research, built with fully convolutional neural networks.
Facebook AI Research's automatic speech recognition toolkit for end-to-end ASR with modern neural architectures.
An open-source PyTorch toolbox for general 3D object detection, supporting LiDAR, camera, and multi-modal models.
A fast and comprehensive machine learning framework for Java, Scala, and Kotlin with state-of-the-art algorithms and data visualization.
An open-source project for developing autonomous vehicle software with datasets, models, and ROS components.
A high-performance neural network training interface for TensorFlow, optimized for speed and research flexibility.
A high-performance neural network training interface for TensorFlow focused on speed, flexibility, and reproducible research.
A curated list of resources dedicated to recurrent neural networks (RNNs) and deep learning.
A TensorFlow implementation of YOLO for real-time object detection, supporting weight conversion, training, and mobile deployment.
An archived experiment integrating TensorFlow's machine learning capabilities directly into the Swift programming language with first-class differentiable programming.
A high-performance deep learning library written entirely in Swift, optimized for Apple hardware.
A collection of simple tutorials introducing deep learning concepts using Google's TensorFlow framework.
A header-only, dependency-free deep learning framework in C++14 for embedded systems and IoT devices.
A flexible Python deep learning framework using define-by-run dynamic computational graphs for neural network research.
A library for building and evaluating mathematical expressions and neural networks in Go, with automatic differentiation and GPU support.
A comprehensive toolset for converting, visualizing, and managing deep learning models across multiple frameworks like TensorFlow, PyTorch, and Caffe.
A curated list of awesome resources for applying LLMs and deep learning to financial market analysis and algorithmic trading.
A TensorFlow implementation of a convolutional neural network for sentence classification based on Yoon Kim's paper.
A collection of TensorFlow tutorials covering basics to advanced neural network architectures with Python code and notebooks.
A fast, header-only C++ machine learning library with bindings for Python, R, Julia, and Go.
Efficient image captioning code in Torch, using a CNN-RNN model to generate captions for images, optimized for GPU training.
An open-source Go engine that replicates AlphaGo Zero's architecture, learning solely through self-play without human knowledge.
A PyTorch-based toolbox for LiDAR-based 3D object detection, supporting multiple state-of-the-art models and datasets.
A PyTorch-based toolbox for LiDAR-based 3D object detection, supporting multiple state-of-the-art models and datasets.
A TensorFlow implementation of neural style transfer that transforms images by applying artistic styles from one image to another.
An open-source machine learning framework for building classical, deep, or hybrid ML applications with a focus on performance and portability.
Rust language bindings for TensorFlow, providing idiomatic access to machine learning capabilities.
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
A TensorFlow implementation of DeepMind's WaveNet neural network for generating raw audio waveforms.
A curated collection of papers, code, and resources for domain adaptation in machine learning.
DeepMind's library for building graph networks in TensorFlow and Sonnet, enabling graph-structured data processing with neural networks.
Rust bindings for the C++ API of PyTorch, providing thin wrappers around libtorch.
An open-source MLOps platform for building, orchestrating, and deploying production AI pipelines and agents.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.