zhengjxu Goto Github PK

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-dl4nlp

A curated list of awesome Deep Learning for Natural Language Processing resources

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

chatbot

Build a ChatBot

chicago-public-transit-optimization

dataviz

Data Visualization Class project

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeplift

Public facing deeplift repo

deeppavlov

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

depend-on-docker

Depend on Docker {DoD} is an open-source project that helps you containerize your software and make it easy to build, ship, and run!

docker.github.io

Source repo for Docker's Documentation

drqa

Reading Wikipedia to Answer Open-Domain Questions

drqa-webui

DrQA Web UI

fastaiml

fsdl-text-recognizer-project

Full Stack Deep Learning Bootcamp Project (Public)

github_pages_docsify

Create github page using docsify

gitignore

A collection of useful .gitignore templates

introtostatisticallearningr-

Work on Introduction to Statistical Learning

jupytergraffiti

Create interactive screencasts inside Jupyter Notebook that anybody can play back

keras-attention

Visualizing RNNs using the attention mechanism

keras-chatbot-web-api

Simple keras chat bot using seq2seq model with Flask serving web

keras-gan-animeface-character

GAN example for Keras. Cuz MNIST is too small and there should be something more realistic.

keras_snli

Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml_sagemaker_studies

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

mlflow

Open source platform for the machine learning lifecycle

msan301

msan603

some file for msan603 class

nd027-c3-data-lakes-with-spark