Nachiket's Projects
This repo contains annotated research papers that I found really good and useful
A curated list of deep learning resources for computer vision
A curated list of awesome quantum computing learning and developing resources.
Curated list of awesome papers and resources in quantum machine learning
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
A Baby Llama model
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Some Code written during studies.
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Educational materials on deep learning by Weights & Biases
18 Lessons, Get Started Building with Generative AI š https://microsoft.github.io/generative-ai-for-beginners/
A book about machine learning, statistics, and data mining for heliophysics
Pytorch implementation of lookahead optimizer(https://arxiv.org/pdf/1907.08610.pdf) and RAdam(https://arxiv.org/pdf/1908.03265.pdf)
PyTorch implementation of polyloss and cyclic focal loss and their performance with sample dataset/s.
Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
This repository is to prepare for Machine Learning interviews.
Very mediocre AI Intern
A Beginner's implementation of Andrej karpathy's micrograd in Rust.
Bare-bone and simple implementations of few Machine Learning Algorithms
Solutions to mlcourse.ai assignments
Repository containing monthly challenges about quantum computing.
Blogs about some of the experiments in Deep Learning and Machine Learning.
Neural Networks: Zero to Hero
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
š OpenDevin: Code Less, Make More
Pytorch implementation of "Revisiting ResNets: Improved Training and Scaling Strategies"(https://arxiv.org/pdf/2103.07579.pdf)
Quantum Machine Learning Community Course
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning