面白い's repositories
100daysofcode-with-python-course
Course materials and handouts for #100DaysOfCode in Python course
awesome-gcp-certifications
A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
convolutional_pr
convolutional phase retrieval
cracking-the-coding-interview-1
:books: C++ and Python solutions with automated tests for Cracking the Coding Interview 6th Edition.
CSE590Sp2018
The github repo for CSE590 - Ubiquitous Computing Spring 2018
CSE599Sp2019
The github repo for CSE599 - Prototyping Interactive Systems Spring 2019
datacamp-1
🍧 A repository that contains courses I have taken on DataCamp
Datacamp-Courses
Some of my notebooks of Datacamp courses.
ETHZ.Lectures
Lectures Taken at ETH Zurich
HackerRank_solutions-1
317 efficient solutions to HackerRank problems
info8002-large-scale-data-systems
Lectures for INFO8002 - Large-scale Data Systems, ULiège
info8004-advanced-machine-learning
Lectures for INFO8004 - Advanced Machine Learning, ULiège
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
JavaWebApplicationStepByStep
JSP Servlets Tutorial For Beginners - in 25 Steps
Kaggle-Competitions
There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
ml-with-python-and-keras
Based off Deep Learning with Python by François Chollet
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Optimisation-Python
This repository is intends to gather some basic optimisatin algorithms in python, in order to study their behaviour and compare them in the a generic framework. It may also contains some application designed to solve problems arising in the field of Machine Learning or Compressed Sensing.
owasp-mstg
The Mobile Security Testing Guide (MSTG) is a comprehensive manual for mobile app security development, testing and reverse engineering.
Pytorch_Quantize_impls
Some recent Quantizing techniques on PyTorch
Tech-Interview-Cheat-Sheet
Studying for a Tech Interview Sucks. Here's an Open Source Cheat Sheet to Help
udacity-nanodegrees
:mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula