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Tensors and Dynamic neural networks in Python with strong GPU acceleration
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
PyTorch Tutorial for Deep Learning Researchers
Awesome Deep Learning Papers
The most cited deep learning papers
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Face recognition with deep neural networks.
Papers with code. Sorted by stars. Updated weekly.
Neural Networks And Deep Learning
Code samples for my book "Neural Networks and Deep Learning"
Play with neural networks!
TensorFlow-based neural network library
The Incredible Pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Keras implementations of Generative Adversarial Networks.
Machine Learning Notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Learning Convolutional Neural Networks with Interactive Visualization.
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Awesome paper list with code about generative adversarial nets
Recurrent Neural Network - A curated list of resources dedicated to RNN
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
From the basics to slightly more interesting applications of Tensorflow
Deep Learning Coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Not Suitable for Work (NSFW) classification using deep neural network Caffe models.
Build Graph Nets in Tensorflow
Image super-resolution through deep learning
Deep Learning V2 Pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanod
A list of popular github projects related to deep learning
unet for image segmentation
Summaries and notes on Deep Learning research papers
Single Shot MultiBox Detector in TensorFlow
Deep Learning GPU Training System
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、T MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAM Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWi 、movielens等
Repo for the Deep Learning Nanodegree Foundations program.
Publication-ready NN-architecture schematics.
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
Image Super Resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Deep Learning Roadmap
📡 Organized Resources for Deep Learning Researchers and Developers
Deep Learning Papers
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Awesome Knowledge Distillation
Awesome Knowledge Distillation
Deep Learning Keras Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Siamese and triplet networks with online pair/triplet mining in PyTorch
Deep Learning Papers Translation
Transfer Learning Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Awesome Lane Detection
A paper list of lane detection.
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Awesome Deep Learning Music
List of articles related to deep learning applied to music
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
Mxnet The Straight Dope
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
A clear, concise, simple yet powerful and efficient API for deep learning.
Semantic Segmentation Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Graph Neural Networks with Keras and Tensorflow 2.
Summaries of machine learning papers
Awesome Deep Text Detection Recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Awesome Knowledge Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Evaluation of Deep Learning Frameworks
Coursera Deep Learning Specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Awesome Gan For Medical Imaging
Awesome GAN for Medical Imaging
Surface Defect Detection
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
Neural Network Papers
Implementation of recent Deep Learning papers
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
🙄 Difficult algorithm, Simple code.
Image Deblurring using Generative Adversarial Networks
Neural Networks On Silicon
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
Interactive Tools for Machine Learning, Deep Learning and Math
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Google Deep Learning Notes（TensorFlow教程）
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Physics Based Deep Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Deep Learning in Haskell
List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.
DL course co-developed by YSDA, HSE and Skoltech
Andrew Ng Notes
This is Andrew NG Coursera Handwritten Notes.
Topics Course on Deep Learning UC Berkeley
GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks
Awesome Model Quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Awesome Tensorflow Chinese
Deep Learning Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
A neural network toolkit for Metal
java deep learning algorithms and deep neural networks with gpu acceleration
Awesome Self Supervised Gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Deep Learning For Medical Applications
Deep Learning Papers on Medical Image Analysis
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
Info8010 Deep Learning
Lectures for INFO8010 - Deep Learning, ULiège
Awesome Deep Learning Papers For Search Recommendation Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
One Pixel Attack Keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Arbitrary Image Stylization Tfjs
Arbitrary style transfer using TensorFlow.js
JAX - A curated list of resources https://github.com/google/jax
Python3 Deep Learning (21,999)
Python2 Deep Learning (21,999)
Python Deep Learning (13,092)
Python Network (11,547)
Jupyter Deep Learning (10,328)
Ml Deep Learning (9,288)
Neural Network (7,750)
Jupyter Notebook Deep Learning (6,566)
Deep Learning Pytorch (4,652)
Deep Learning Tensorflow (4,441)
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