deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1429)
A simple library for creating complex neural networks
Full Stack Deep Learning Online Course
A medical imaging framework for Pytorch
Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.
Generic and easy-to-use serving service for machine learning models
Resources for "Introduction to Deep Learning" course.
A face recognition solution on mobile device.
Visualizing RNNs using the attention mechanism
yolo(all versions) implementation in keras and tensorflow 2.x
AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: ht...
A curated list of papers, code and resources pertaining to zero shot learning
Pytorch implementation of Center Loss
Kubernetes-native Deep Learning Framework
Visualization toolkit for neural networks in PyTorch! Demo -->
A modern development environment for deep learning
A PyTorch implementation of DenseNet.
Python library to easily log experiments and parallelize hyperparameter search for neural networks
NeuPy is a Tensorflow based python library for prototyping and building neural networks
Standardized data set for machine learning of protein structure
PyTorch从入门到精通
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
Inference Code for Polygon-RNN++ (CVPR 2018)
深度学习在推荐系统中的应用及论文小结。
Deep Learning for Coders, 2020, the website
TensorFlow and Deep Learning Tutorials
机器学习&深度学习网站资源汇总（Machine Learning Resources）
A curated list of papers dedicated to neural text (semantic) matching.
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Real-Time Semantic Segmentation in Mobile device
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
An evolving guide to learning Deep Learning effectively.
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning bas...
Food Classification with Deep Learning in Keras / Tensorflow
DenseNet implementation in Keras
Generating Videos with Scene Dynamics. NIPS 2016.
TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Gibson Environments: Real-World Perception for Embodied Agents
Cancer metastasis detection with neural conditional random field (NCRF)
A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
Sequence to Sequence Models with PyTorch
Stanford Unsupervised Feature Learning and Deep Learning Tutorial
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
CondenseNet: Light weighted CNN for mobile devices
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
TensorFlow Script
Joint Detection and Identification Feature Learning for Person Search
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)