wangjs,github

assignment2-2016

Assigment 2 of the course CS224d: Deep learning for natural language processing (2016 version)

awesome-cheatsheets

超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:

awesome-cheatsheets-1

📚 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-r

A curated list of awesome R packages, frameworks and software.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bcbb

Incubator for useful bioinformatics code, primarily in Python and R

biber

BibeR: A Web-based tool for bibliometric analysis in scientific literature

biocyctu

Batch retrieve the transcription units from BioCyc database

caffe

Caffe: a fast open framework for deep learning.

caffo-coursera

A repository of my Coursera latex code and notes

calculus-with-python

Calculus with Python -- A Tiny Little Book

casekit

Java software for teaching and research dealing with spectral data in chemistry and metabolomics

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

chemospecmarker

Functions to Identify Biomarkers in NMR Spectra

chunking-ner

Chunking Data techniques in Named Entity Recognition(NER) using NLP libraries and algorithms

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cytoflow

A Python toolbox for quantitative, reproducible flow cytometry analysis

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

data-science-ipython-notebooks

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

datasciencepython

common data analysis and machine learning tasks using python

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

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