deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1412)
NeuPy is a Tensorflow based python library for prototyping and building neural networks
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Inference Code for Polygon-RNN++ (CVPR 2018)
Standardized data set for machine learning of protein structure
PyTorch从入门到精通
TensorFlow and Deep Learning Tutorials
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
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
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
An evolving guide to learning Deep Learning effectively.
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning bas...
Generating Videos with Scene Dynamics. NIPS 2016.
Food Classification with Deep Learning in Keras / Tensorflow
TonY is a framework to natively run deep learning frameworks on Apache Hadoop.
DenseNet implementation in Keras
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.
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.
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
CondenseNet: Light weighted CNN for mobile devices
Deep neural network framework for multi-label text classification
Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
Joint Detection and Identification Feature Learning for Person Search
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
TensorFlow Script
PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
常用的语义分割架构结构综述以及代码复现
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability
GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis
Fine-tune pretrained Convolutional Neural Networks with PyTorch
Network Slimming (Pytorch) (ICCV 2017)
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Paramet...
A Real-time Mario Kart 64 AI using ConvNets.
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)
deeplearning.ai , By Andrew Ng, All video link
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
:speech_balloon: An On-Premises, Streaming Speech Recognition System
《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、...
Light-Weight RefineNet for Real-Time Semantic Segmentation