zkcode Goto Github PK

1806

18.06 course at MIT

6.041

Notes I've taken for MIT's 6.041 (Probabilistic Systems Analysis & Applied Probability), plus course bible material.

active-table

Framework agnostic table component for editable data experience. (For display in Chinese)

advanced-deep-learning-and-reinforcement-learning-deepmind

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

algo-for-data-analytics

IE531: Algorithms for Data Analytics in 2018 Spring, UIUC

analysis-of-network-data

IE532: Analysis of Network Data in 2017 Fall, UIUC

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

cis565-fall-2016.github.io

Course website for CIS 565 at the University of Pennsylvania

computational-advertising-uiuc

:money_with_wings: CS498HS4: Computational Advertising in Fall 2018, UIUC

computer-vision-tutorial

computer vision tutorial guide courses books codes slides resources

computer-vision-uiuc

🖼️ CS543 / ECE549: Computer Vision in Spring 2018, University of Illinois at Urbana-Champaign

coursera-ml

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

cs106b

:neckbeard: CS 106B: Programming Abstractions (C++) | Spring 2017

cs231a

Computer Vision: From 3D Reconstruction to Recognition

data-structures-ucb

🌳 CS 61B: Data Structures in Spring 2018, University of California, Berkeley

data-structures-uiuc

🌳 CS225: Data Structures

database-systems-uiuc

💾 CS411: Database Systems in Spring 2018, UIUC

deep-learning-guide

deep learning resources: slides,books,papers,blogs

deep-learning-specialization

⚛️ Deep Learning Specialization by deeplearning.ai

drawio

forked from draw.io; draw.io is a JavaScript, client-side editor for general diagramming.

drawio-desktop

forked from drawio-desktop; Official electron build of draw.io

ece408

:twisted_rightwards_arrows: ECE408 / CS483 / CSE408: Applied Parallel Programming in Fall 2018, UIUC

ee16a

freecodecamp

freeCodeCamp.org's open source codebase and curriculum. Learn to code at home.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

json-schema-to-typescript

Compile JSONSchema to TypeScript type declarations

machine-learning-tutorial

machine learning tutorial books slides codes rescources

machine-learning-uiuc

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

natural-language-process

Solutions for CS224d: Deep Learning for Natural Language Processing

realtime-web-technologies-guide

An open and maintained a list of realtime web technologies.