wszjzhang

TonY

TonY is a framework to natively run deep learning frameworks on Apache Hadoop.

detext

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

fillmore

Semi-unsupervised meta learning for text classification

Making-Java-Groovy

Source code for Manning book "Making Java Groovy"

linkedin-gradle-plugin-for-apache-hadoop

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

XLM

PyTorch original implementation of Cross-lingual Language Model Pretraining.

fast-bert

Super easy library for BERT based NLP models

deeplearning.ai

ENet-Real-Time-Semantic-Segmentation

ENet - A Neural Net Architecture for real time Semantic Segmentation

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

graph_nets

Build Graph Nets in Tensorflow

keras-tuner

A Hyperparameter Tuning Library for Keras

NLP-Models-Tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

DeepRec

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

tfx

TFX is an end-to-end platform for deploying production ML pipelines

tpu

Reference models and tools for Cloud TPUs.

awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

shufflenet-v2-tensorflow

A lightweight convolutional neural network

ShuffleNet

ShuffleNet Implementation in TensorFlow

attention-ocr

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

unet

unet for image segmentation

Transformer_Captioning

Use transformer for captioning

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

apachecn-algo-zh

ApacheCN 数据结构与算法译文集

tensorflow-federated

An open-source framework for machine learning and other computations on decentralized data.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。