Deep Learning
Showing 36 of 937 projects
A Python framework for creating AI agents that learn to play any video game you own.
An open-source NLP framework for building and deploying deep learning dialog systems and chatbots with PyTorch and transformers.
An open-source Python library for applying deep learning to drug discovery, materials science, quantum chemistry, and biology.
An open-source MLOps/LLMOps suite for experiment management, data management, pipelines, orchestration, scheduling, and model serving.
A curated collection of standalone examples demonstrating machine learning tasks with TensorFlow.js in browsers and Node.js.
A curated list of awesome neural radiance fields (NeRF) papers, implementations, and resources.
A friendly JavaScript library that makes machine learning accessible in the browser for artists, creative coders, and 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.
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-source PyTorch toolbox for general 3D object detection, supporting LiDAR, camera, and multi-modal models.
Facebook AI Research's automatic speech recognition toolkit for end-to-end ASR with modern neural architectures.
A high-performance automatic speech recognition toolkit from Facebook AI Research, built with fully convolutional neural networks.
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 focused on speed, flexibility, and reproducible research.
A high-performance neural network training interface for TensorFlow, optimized for speed and research flexibility.
A curated list of awesome resources for applying LLMs and deep learning to financial market analysis and algorithmic trading.
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 library for building and evaluating mathematical expressions and neural networks in Go, with automatic differentiation and GPU support.
A flexible Python deep learning framework using define-by-run dynamic computational graphs for neural network research.
A comprehensive toolset for converting, visualizing, and managing deep learning models across multiple frameworks like TensorFlow, PyTorch, and Caffe.
A TensorFlow implementation of a convolutional neural network for sentence classification based on Yoon Kim's paper.
A fast, header-only C++ machine learning library with bindings for Python, R, Julia, and Go.
A collection of TensorFlow tutorials covering basics to advanced neural network architectures with Python code and notebooks.
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.
An open-source pipeline for training medical domain GPT models using PT, SFT, RLHF, DPO, ORPO, and GRPO methods.
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.
An open-source machine learning framework for building classical, deep, or hybrid ML applications with a focus on performance and portability.
A TensorFlow implementation of neural style transfer that transforms images by applying artistic styles from one image to another.
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