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adam

A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.

alphafm

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

awesome-github-profile-readme

😎 A curated list of awesome Github Profile READMEs 📝

awesome-semantic-segmentation

awesome-semantic-segmentation

baize-chatbot

Let ChatGPT teach your own chatbot in hours with a single GPU!

cdcs

Chinese Data Competitions' Solutions

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

chinese

Tools and resources for Chinese texts preprocessing. Validated in two papers, one CCF C, EI indexing and one CCF B, SCI indexing.

chinese-names-corpus

中文人名语料库。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。

chinese_radical

clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cnn-yelp-challenge-2016-sentiment-classification

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

cnn_sentence

CNNs for sentence classification

codefactory

coding-interview-university

A complete computer science study plan to become a software engineer.

codingground

Main Repository for Coding Ground

conceptnet-numberbatch

coursera-machine-learning

Coursera Machine Learning - Python code

coursera-stanford-ml-python

Coursera/Stanford Machine Learning course assignments in python

coursera_machine_learning_exercises

Machine Learning by Andrew Ng from Coursera

crowd

cs224n-learning-camp

cs229-assignments

cs229-learning-camp

dask-examples

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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15个章节，近20万字。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[email protected] 版权所有，违权必究 Tan 2018.06