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awesome_repos
Competitive Programming
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Linux Resources
Resources for Linux System , May contain ricesMLResources and Repos
Resources and repos useful in learning Machine LearningPlacement - DSA
Placement Interview Resources for DSAResearchPapers
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Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
Listing the research works related to risk control based on GNN and its interpretability. 1. we can learn the application of GNN in risk control (including fraud detection). 2. For possible predict…
My random competitive programming solutions (and other stuff)
Makes you a Rockstar C++ Programmer in 2 minutes
General Resources for Competitive Programming
💎 A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
Book Code for ICPC; Unmaintained, see https://github.com/kth-competitive-programming/kactl/ or https://github.com/ecnerwala/cp-book
KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)
Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".
Python Data Science Handbook: full text in Jupyter Notebooks
Learn OpenCV : C++ and Python Examples
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
List of Computer Science courses with video lectures.
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.
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
10 Weeks, 20 Lessons, Data Science for All!
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
This repository is to prepare for Machine Learning interviews.
A resource for learning about Machine learning & Deep Learning
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep