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annotated_research_papers

This repo contains annotated research papers that I found really good and useful

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

awesome-quantum-ml

Curated list of awesome papers and resources in quantum machine learning

best_ai_papers_2022

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.

crias

A Baby Llama model

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

edu

Educational materials on deep learning by Weights & Biases

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

helioml

A book about machine learning, statistics, and data mining for heliophysics

lookahead_pytorch

Pytorch implementation of lookahead optimizer(https://arxiv.org/pdf/1907.08610.pdf) and RAdam(https://arxiv.org/pdf/1908.03265.pdf)

loss-tryout

PyTorch implementation of polyloss and cyclic focal loss and their performance with sample dataset/s.

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

mediocre_intern

Very mediocre AI Intern

ml_algo_implemented

Bare-bone and simple implementations of few Machine Learning Algorithms

mlcourse

Solutions to mlcourse.ai assignments

monthly-challenges

Repository containing monthly challenges about quantum computing.

nachiket273

nachiket273.github.io

Blogs about some of the experiments in Deep Learning and Machine Learning.

nn-zero-to-hero

Neural Networks: Zero to Hero

one_cycle_policy

Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)

opendevin

🐚 OpenDevin: Code Less, Make More

pytorch_resnet_rs

Pytorch implementation of "Revisiting ResNets: Improved Training and Scaling Strategies"(https://arxiv.org/pdf/2103.07579.pdf)

qmlcourse

Quantum Machine Learning Community Course

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

self_driving_car

Udacity Self Driving Car ND projects - including lane detection, Traffic sign classifier, behaviour cloning

transformers_to_gpt

My Journey from starting from transformers to GPT.

tweet_classification_huggingface_wandb

Simple Repository regarding tweet classification using huggingface tokenizer and transformer, and tracking using weights and biases.