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crnn_chinese_characters_rec

chinese characters recognition

cs-notes

😋 技术面试必备基础知识

cs224n-squad-project

cvat

Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

cw2vec

基于字符训练词向量

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

decomp_attn_keras

Parikh et al., A Decomposable Attention Model for Natural Inference

decompose-cnn

CP and Tucker decomposition for Convolutional Neural Networks

deep-learning-notes

Experiments with Deep Learning

deeplearning

深度学习相关的模型训练、评估和预测相关代码

deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

deepqa

基于深度学习的中文问答系统

deepqa-1

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

deeptools

深度学习好用的工具

deploy_mnist_classification_using_flask

In this repository, we will see how to classify MNIST Handwritten digits using Keras and then deploy the model using flask to make predictions in web browser

dgcnn

Dilate Gated Convolutional Neural Network

dialog-system-with-task-retrieval-and-seq2seq

2018 JDDC对话大赛亚军解决方案

doccano

Open source text annotation tool for machine learning practitioner.

dream

DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension

elegantbook

ElegantBook: An Elegant LaTeX Template for Books

elmo-keras

Re-implementation of ELMo on Keras

elmo_for_keras

elmoformanylangs

Pre-trained ELMo Representations for Many Languages

embedding-as-service

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

encoder_decoder

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

entity-relation-extraction

Entity and Relation Extraction Based on TensorFlow. 基于TensorFlow的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案（比赛结束后完善代码）。Schema based Knowledge Extraction, SKE 2019

etagger

reference tensorflow code for named entity tagging

fbtt-embedding

This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.

fib-chatbot

A chatbot developed to help FIB students. It uses both NLP and Machine Learning techniques to answer questions.

final_project_api_v1.1