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mtcnn_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

multi-speaker-tacotron-tensorflow

Multi-speaker Tacotron in TensorFlow.

natural-language-understanding-nodejs

:new: Demo code for the Natural Language Understanding Service.

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nltk

NLTK Source

nmt

TensorFlow Neural Machine Translation Tutorial

numpy_exercises

Numpy exercises.

ocr_kor

딥러닝을 활용한 한글문장 OCR 연구

opencv

Practice OpenCV and TensorFlow

openface

Face recognition with deep neural networks.

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）

pixellink-with-pytorch

PixelLink-with-pytorch

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

python

All Algorithms implemented in Python

pytorch-deep-learning-template

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

pytorchic-bert

Pytorch Implementation of Google BERT

rapping-neural-network

rap-song writing recurrent neural network

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

relational-networks

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

seq2seq-chatbot

Chatbot in 200 lines of code

singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

snli_dual_encoder_lstm

soynlp

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

tacotron-3

Tacotron speech synthesis implemented in TensorFlow, with samples and a pre-trained model

tensorboard

TensorFlow's Visualization Toolkit

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-mnist-cnn

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

tensorflow-mnist-vae

Tensorflow implementation of variational auto-encoder for MNIST

tensorflow-seq2seq-tutorials

Dynamic seq2seq in TensorFlow, step by step