DSMO.courseData Science and Matrix Optimization course
Stars: ✭ 64 (+357.14%)
CompetitiveprogrammingPage of the course "Competitive Programming and Contests" at Department of Computer Science, University of Pisa
Stars: ✭ 126 (+800%)
empirical-methodsHomepage for 17-803 "Empirical Methods" at Carnegie Mellon University
Stars: ✭ 103 (+635.71%)
Py4eWeb site for www.py4e.com and source to the Python 3.0 textbook
Stars: ✭ 1,387 (+9807.14%)
CS110Notes1st time TAing for CS110 at Stanford: Principles of Computer Systems? - Stars are appreciated :)
Stars: ✭ 59 (+321.43%)
TeachingMy lecture notes and other course materials
Stars: ✭ 28 (+100%)
Ml19 20aCS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-autumn offering
Stars: ✭ 115 (+721.43%)
cs-examsExamination preparation material for Computer Science students at Trinity College Dublin.
Stars: ✭ 44 (+214.29%)
CSSS508CSSS508: Introduction to R for Social Scientists
Stars: ✭ 28 (+100%)
Ppd599USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+7485.71%)
r4excel usersБесплатный видео курс "Язык R для пользователей Excel"
Stars: ✭ 14 (+0%)
ooprogrammingIntermediate course introducing Object Oriented Programming (OOP) principles applied to the Java language. Recommend to learners with previous experience.
Stars: ✭ 50 (+257.14%)
MAC0460All contents from the course MAC0460 - An introduction to machine learning
Stars: ✭ 48 (+242.86%)
kubernetes-hy.github.ioCourse material for the DevOps with Kubernetes free MOOC by the University of Helsinki
Stars: ✭ 57 (+307.14%)
esc101-18-19-aESC 101A: Fundamentals of Computing (C Programming Course), IIT Kanpur, 2018-19-autumn offering
Stars: ✭ 23 (+64.29%)
pacs-examplesThe examples for the course on advanced programming for scientific computing (aka PACS), Politecnico di Milano
Stars: ✭ 16 (+14.29%)
Scala CourseScala for Statistical Computing and Data Science Short Course
Stars: ✭ 118 (+742.86%)
packt-mastering-fpPacktPub "Mastering Functional Programming with JavaScript" video course materials
Stars: ✭ 17 (+21.43%)
Learn Vuex🗂Source code for the Vuex for Everyone course
Stars: ✭ 113 (+707.14%)
fdsDSCI-633: Foundations of Data Science https://github.com/hil-se/fds
Stars: ✭ 16 (+14.29%)
Course Computational Literary AnalysisCourse materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, and at Columbia University in Fall 2020.
Stars: ✭ 74 (+428.57%)
ngx-metrikaAngular Yandex Metrika (Модуль поддержки счетчиков Яндекс Метрика для Angular 6+)
Stars: ✭ 13 (-7.14%)
Dynamic Forms🗂 Source code for the Dynamic Forms with Vue.js Course
Stars: ✭ 51 (+264.29%)
ml19-20wCS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-winter offering
Stars: ✭ 100 (+614.29%)
nuxt-fundamentalsSource code for the Nuxt.js Fundamentals course
Stars: ✭ 40 (+185.71%)
RL courseThe page of the Ural Federal University course "Reinforcement Learning and Neural Networks"
Stars: ✭ 23 (+64.29%)
ML-CM-2019Machine Learning in Condensed Matter Physics 2019 course repository
Stars: ✭ 51 (+264.29%)
MLclassMy main Machine Learning class
Stars: ✭ 56 (+300%)
MLiFCCourse Material for the machine learning in financial context bootcamp
Stars: ✭ 102 (+628.57%)
TeachingDataScienceCourse notes for Data Science related topics, prepared in LaTeX
Stars: ✭ 102 (+628.57%)
CNCC-2020Computational Neuroscience Crash Course (University of Bordeaux, 2020)
Stars: ✭ 36 (+157.14%)
hit-oslab网易云课堂李治军老师操作系统课实验报告
Stars: ✭ 34 (+142.86%)
Wa4eCourse materials for www.wa4e.com
Stars: ✭ 123 (+778.57%)
codappsA course to learn how to code a mobile app - for complete beginners
Stars: ✭ 14 (+0%)
Stanford Tensorflow TutorialsThis repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Stars: ✭ 10,098 (+72028.57%)
mcnp📊复杂网络建模课程设计. The project of modeling of complex networks course.
Stars: ✭ 69 (+392.86%)
SeaiCMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
Stars: ✭ 114 (+714.29%)
reinforcement learning course materialsLecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Stars: ✭ 765 (+5364.29%)
CvessentialsTutorial Series (60 hour course): Essentials of computer vision
Stars: ✭ 111 (+692.86%)
Intro-Cultural-AnalyticsIntroduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book
Stars: ✭ 137 (+878.57%)
Deeplearning2020course materials for introduction to deep learning 2020
Stars: ✭ 90 (+542.86%)
compiler-course-unipiLab of the course Languages, Compilers and Interpreters (Cod. 653AA) @ UNIPI
Stars: ✭ 18 (+28.57%)
Storytelling With DataCourse materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Stars: ✭ 59 (+321.43%)
deep vision and graphicsCourse about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
Stars: ✭ 89 (+535.71%)
human-memoryCourse materials for Dartmouth course: Human Memory (PSYC 51.09)
Stars: ✭ 239 (+1607.14%)
com.118-119Structured Programming, Object-oriented Programming (COM 118, 119)
Stars: ✭ 23 (+64.29%)
EECS 1720commits made while instructing EECS 1720 (winter 2022) (course @york University, Canada) - live content will be cleaned, edited, and described in logfile and code comments each week on Thursday
Stars: ✭ 30 (+114.29%)
computational-neuroscienceShort undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.
Stars: ✭ 36 (+157.14%)
DRL in CVA course on Deep Reinforcement Learning in Computer Vision. Visit Website:
Stars: ✭ 59 (+321.43%)