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Discover 817 open source projects
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ndrplz/self-driving-car
This GitHub repository contains projects for the Udacity Self-Driving Car Engineer Nanodegree, focusing on computer vision, deep learning, and autonomous vehicle technology.
alibaba/euler
A distributed graph deep learning framework for building graph-based AI models and applications.
jisungk/deepjazz
Deep learning driven jazz generation using Keras and Theano
huggingface/neuralcoref
A fast coreference resolution library built on top of spaCy and neural networks for natural language processing.
sxyu/svox2
An efficient, neural-network-free 3D radiance field renderer for virtual view synthesis and reconstruction.
ruvnet/ruvector
High-performance vector graph neural network database in Rust for real-time AI inference and graph ML.
nickliqian/cnn_captcha
A Python library that uses Tensorflow and convolutional neural networks to recognize character-based image captchas.
NVIDIA/MinkowskiEngine
A high-performance, auto-diff neural network library for 3D and 4D sparse tensor computations.
robi56/Deep-Learning-for-Recommendation-Systems
This repository contains deep learning-based articles, papers, and repositories for recommendation systems.
kpzhang93/MTCNN_face_detection_alignment
A MATLAB library for joint face detection and alignment using multi-task cascaded convolutional neural networks.
b4rtaz/distributed-llama
A C++ library for distributed large language model inference, allowing developers to build powerful AI applications with a cluster of home devices.
sonos/tract
A lightweight, self-contained Rust library for running Tensorflow and ONNX models with no dependencies
patrick-kidger/equinox
A Python library for building neural networks with JAX, providing an elegant and easy-to-use interface.
isl-org/ZoeDepth
A GitHub repository providing a metric depth estimation model from a single image using deep learning.
NiuTrans/MTBook
A book on the foundations and models of machine translation, including deep learning and neural machine translation.
werner-duvaud/muzero-general
An implementation of the MuZero reinforcement learning algorithm for general-purpose use cases.
sony/nnabla
A high-performance neural network libraries for deep learning written in Python.
Alro10/deep-learning-time-series
A repository with papers, code, and experiments using deep learning for time series forecasting.
carpedm20/ENAS-pytorch
A PyTorch implementation of the Efficient Neural Architecture Search (ENAS) algorithm for AI model optimization.
subeeshvasu/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels, focusing on robust deep learning models.
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