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2016codecraft

2016华为codecraft算法大赛 (dfs+pruning)

2018-tencent-ad-competition-baseline

2018腾讯广告算法大赛baseline 线上0.73

algorithm-train

Just the algorithm train with various problems

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

amemv-crawler

🙌Easily download all the videos from TikTok(amemv).下载指定的 抖音（Douyin） 号的视频,抖音爬虫

ams-2013-2014-solar-energy

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

awesome-spider

爬虫集合

benci-kaggle

The Kaggle Benci competition

bilibiliupload

Upload video to bilibili under command-line interface

bimpm

BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

carnd-traffic-sign-classifier-project

Classify Traffic Signs.

char-level-cnn-text-classification

Short-text classifier based on cnn and char level representations of words.

cnn-nlp

Character-level CNNs in NLP

cnn-question-classification-keras

Chinese Question Classifier (Keras Implementation) on BQuLD

cnn-text-classification-keras

Text Classification by Convolutional Neural Network in Keras

cnn-text-classification-tf-chinese

CNN for Chinese Text Classification in Tensorflow

cnn_basics

NLP using CNN on Cornell Movie Ratings

crawler-of-beautify

This is a Python program for the web Crawler for the beautify

crimp-prediction

A competition of Crimp to predict the sales

ctrip

deep_learning_nlp

Implementation of CNN for document classification in Keras on the IMDB movie review data set

deepfakes_faceswap

from deekfakes' faceswap: https://www.reddit.com/user/deepfakes/

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

douyin-bot

😍 Python 抖音机器人，论如何在抖音上找到漂亮小姐姐？

face-replace

Snapchat -like replace face in the video by a face mask

facedetection

based on haar features and adaboost

facial-expression-recognition

facial expression recognition using tensor flow

fullstack-data-engineer

全栈数据工程师养成攻略

gdlnotes

Google Deep Learning Notes（TensorFlow教程）