kostistzim's Stars
gesiscss/awesome-computational-social-science
A list of awesome resources for Computational Social Science
D-2n/deep_learning_dtu
DTU 02456 Deep learning 2023 exercise notebooks repo
EmilbMadsen/02456-DeepLearning-Completed
Completed exercises for 02456 Deep Learning E21
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
bok11/02456-Deep-learning
Notebooks for the course
Myun-GitHub/DTU_02450_Machine-learning-and-data-mining
Jjtrane/02456DeepLearning
unexploredtest/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
DeepLearningDTU/02456-deep-learning-with-PyTorch
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
djib2011/python_ml_tutorial
A complete tutorial in python for Data Analysis and Machine Learning
rasbt/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Emilostuff/algoaid
A collection of useful tools for students taking an introductory course in algorithms and data structures.
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
keon/algorithms
Minimal examples of data structures and algorithms in Python
mathiasuy/Soluciones-Klenberg
Algorithm Design (Kleinberg Tardos 2005) - Solutions
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
walkccc/CLRS
📚 Solutions to Introduction to Algorithms Third Edition
gzc/CLRS
:notebook:Solutions to Introduction to Algorithms
wojtask/clrs4e-solutions
Solutions to exercises and problems from "Introduction to Algorithms", Fourth Edition by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
beejjorgensen/bgc
Beej's Guide to C Programming source
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
epfml/OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Mrinank-Bhowmick/python-beginner-projects
Explore a collection of beginner-friendly Python projects that can be completed with minimal code. Perfect for learning the basics and improving your coding skills.
ndleah/python-mini-project
🙌 Welcome open-source Python mini-project contributions!
shsarv/Machine-Learning-Projects
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.