annajiat Goto Github PK

codeanalysis

Static Code Analysis

codeinternational

coding-interview-university

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

competitive-programming

Competitive Programmer's Core Skills by Saint Petersburg State University

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

concept-maps

Concept maps for all things data science

coordination

Delocalized issues relevant to the HPC Carpentry organization overall

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

course_2022_miaverse

course_2022_oulu

coursera-competitive-programming-core-skills

My progress doing Coursera Competitive Programmer's Core Skills.

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-tweets-for-check-worthiness

COVID-19 Infodemic Twitter dataset

cr_example_jmygt

crime_mapping

cs-video-courses

List of Computer Science courses with video lectures.

cse123

csrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

ctcms-hpc-intro

cups

OpenPrinting CUPS Sources

curriculum-development

The Curriculum Development Handbook. How to assemble and maintain a Carpentries lesson.

cv

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

d2l-en-colab

Automatically Generated Notebooks for Colab

dalle-mini

DALL·E Mini - Generate images from a text prompt

data-201-resources

Public resources related to Thinkful's data science bootcamp

data-engineering-zoomcamp

Code for Data Engineer Zoomcamp course

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

data-science-in-education

Repository for 'Data Science in Education Using R' by Emily A. Bovee, Ryan A. Estrellado, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez to be published by Routledge in 2020

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.