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bert

TensorFlow code and pre-trained models for BERT

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

brew

⛔️ DEPRECATED brew: Python Ensemble Learning API

cmake-cookbook

:book: 作为对《CMake Cookbook》的中文翻译。

cmake-cookbook-1

CMake Cookbook recipes.

coding_interview_c_python

code

corpus_process_script

chinese and english corpus process script, python, c++, java

cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

cs224n-squad-project

cs224n-win18-squad

Code for the Default Final Project (SQuAD) for CS224n, Winter 2018

cs224n-winter-2017

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

cs224n-winter17-notes

Course notes for CS224N Winter17

cs231n-2017-assignment2

cs231n-2017-assignment2 浏览ipynb戳右边->

cs231n-2017-assignment3

cs231n-2017-assignment3

cs231n.github.io

Public facing notes page

csapp-3e-solutions

CSAPP 3e Solutions gitbook

csapp-labs

Labs for self-study: Computer Systems: A Programmer's Perspective, 3/E (CS:APP3e)

cw2vec-2

基于字符训练词向量

cw2vec-3

Implementation of the cw2vec model

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dmn-tensorflow

Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow

docs

TensorFlow documentation

dynamic-memory-networks-in-tensorflow

Dynamic Memory Network implementation in TensorFlow

example-code

Example code for the book Fluent Python

factoid-based-question-answer-chatbot

Factoid Question Answering Chat bot is a simpler version of question answering system. It answers to the question asked by user in near real time using information retrieval and natural language processing technique

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

improving-deep-neural-networks-hyperparameter-tuning-regularization-and-optimization

kaggle_project

linux

Linux kernel source tree