Parisa-Alizadeh's Stars
ucbrise/cs294-ai-sys-sp22
CS294 AI Systems Class Website
khuyentran1401/Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
trimstray/the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
hejazizo/CS-Tutorial
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
BahramJannesar/AndrewNgMachineLearningCoursePersianSubtitle
ترجمه زیرنویس دوره یادگیری ماشین Andrew Ng دانشگاه استنفورد
ggrothendieck/sqldf
Perform SQL Selects on R Data Frames
pytopia/CS-Tutorial
Source Code for CS Courses Offered by Ali Hejazizo
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
backtobackswe/backtobackswe-solutions
Legacy Code Examples For Back To Back SWE Lessons
hejazizo/CV
TheAlgorithms/Python
All Algorithms implemented in Python
Erfaniaa/competitive-programming
Algorithm Design, Data Structures, ACM-ICPC, and IOI
node-red/node-red
Low-code programming for event-driven applications
BoltzmannEntropy/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
arfrix/kingArfaPersonalWebsite
personal website based on Gatsby
iNeuronai/interview-question-data-science-
ml874/Cracking-the-Data-Science-Interview
Cracking the Data Science Interview
rbhatia46/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
cdeweyx/DS-Career-Resources
Compilation of resources for aspiring data scientists
khanhnamle1994/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
graph4ai/graph4nlp_literature
This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
moelgendy/deep_learning_for_vision_systems
This repository accompanies the book "Deep Learning for Vision Systems".
AstraZeneca/awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
PacktPublishing/Python-Data-Analysis-Third-Edition
Python Data Analysis, Third Edition, Published by Packt