Astitv Shandilya's Projects
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Coq library on rewriting theory and termination
Copybara: A tool for transforming and moving code between repositories.
A collection of competitive programming/algorithmic problem solving resources, including links, code and other stuff!
List of Computer Science courses with video lectures.
Solutions to the CSES problem set.
:bar_chart: Path to a free self-taught education in Data Science!
Writing a sqlite clone from scratch in C
A replica of the AlphaZero methodology for deep reinforcement learning in Python
experimenting with differentiable models of morphogenesis :microscope: :microbe:
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Research publications in Computer Vision Journals and Conferences (and arxiv) using RL.Visit Website:
Computational Cognitive Neuroscience, Fourth Edition
A collection of (mostly) technical things every software developer should know
Experimental Minter code
Font files available from Google Fonts
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
:books: Freely available programming books
Implementation of Graph Convolutional Networks in TensorFlow
This contains the curriculum that I will follow to get better at Competitive Programming in 2 months.
Search and explore repos on GitHub!!!
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
š¤ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A guide to contributing to open source
How to Make a Computer Operating System in C++
Source code for the Hydrogen programming language (hydlang) Interpreter.
A peer-reviewed collection of articles/talks/repos which teach concise, idiomatic Rust.
Source code from http://www.jamesmolloy.co.uk/tutorial_html/index.html with improved build system. Tested on Ubuntu 14.04.