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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
Data Science Ipython Notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
🔮 Build multimodal AI services via cloud native technologies
Neural Networks And Deep Learning
Code samples for my book "Neural Networks and Deep Learning"
Awesome Pytorch List
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
You like pytorch? You like micrograd? You love tinygrad! ❤️
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Super Resolution for images using deep learning.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
TensorFlow-based neural network library
The Incredible Pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
Build your neural network easy and fast, 莫烦Python中文教学
NeMo: a toolkit for conversational AI
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Official Stanford NLP Python Library for Many Human Languages
Efficiently computes derivatives of numpy code.
TensorFlow Neural Machine Translation Tutorial
Neural style in TensorFlow! 🎨
Machine Learning Collection
A resource for learning about Machine learning & Deep Learning
Cnn Text Classification Tf
Convolutional Neural Network for Text Classification in Tensorflow
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Have Fun With Machine Learning
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
A list of popular github projects related to deep learning
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Flax is a neural network library for JAX that is designed for flexibility.
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
Neural Network to colorize grayscale images
Fast and flexible AutoML with learning guarantees.
Deep Learning Roadmap
📡 Organized Resources for Deep Learning Researchers and Developers
OpenCV Python Neural Network Autonomous RC Car
NeuralProphet: A simple forecasting package
Deep Learning Keras Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Simple and comprehensive tutorials in TensorFlow
A recurrent neural network for generating little stories about images
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Neural Network Libraries
✨Fast Coreference Resolution in spaCy with Neural Networks
Neural network visualization toolkit for keras
JAX-based neural network library
A TensorFlow implementation of the Differentiable Neural Computer.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Graph Neural Networks with Keras and Tensorflow 2.
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
A small course on exploiting and defending neural networks
Neural Artistic Style in Python
Deep Learning For Recommendation Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
Tensorflow Speech Recognition
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Neural Photo Editor
A simple interface for editing natural photos with generative neural networks.
Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:
Deep Learning Time Series
List of papers, code and experiments using deep learning for time series forecasting
Deep neural network to extract intelligent information from invoice documents.
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
Using neural networks to build an automatic number plate recognition system
Chinese Text Classification Pytorch
Neural Collaborative Filtering
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"
Awesome Pytorch List Cnversion
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Andrew Ng Notes
This is Andrew NG Coursera Handwritten Notes.
Machine Learning Experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Fast, flexible and fun neural networks.
Cracking The Data Science Interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastTex RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
Word Rnn Tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Awesome Tensorflow Chinese
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
Convolutional Neural Network for 3D meshes in PyTorch
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
Deep Learning Architecture Genealogy Project
GPU-Accelerated Deep Learning Library in Python
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Retina blood vessel segmentation with a convolutional neural network
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
A Graph Neural Network Library in Jax
A neural network trained to help writing neural network code using autocomplete
A toolbox to iNNvestigate neural networks' predictions!
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
Stylized Neural Painting
Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.
Minimal, clean example of lstm neural network training in python, for learning purposes.
Machine Learning Curriculum
💻 Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
Seq2seq Signal Prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.
🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.
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