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Starred repositories
Android app that automatically detects expenses based on Bank SMS Transactions
Notebooks for learning deep learning
Repo of graph algorithms visualised and explained.
This repo contains a few tree based boosting algorithms implemented in python from scratch. This code relates to a medium.com article which I wrote explaining my journey to understanding how XGBoos…
This repo contains Scripts which are explained in the youtube Channel https://www.youtube.com/c/NetworkEvolution/videos?sub_confirmation=1
H2O.ai Machine Learning Interpretability Resources
Techniques for deep learning with satellite & aerial imagery
Lab materials for the Full Stack Deep Learning Course
Neural question generation using transformers
A simple and efficient tool to parallelize Pandas operations on all available CPUs
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …
Minimal and clean examples of machine learning algorithms implementations
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
a cheat-sheet for mathematical notation in code form
Machine Learning Conference & Summer School Notes. 🦄
Deep Learning and deep reinforcement learning research papers and some codes
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Study guides for MIT's 15.003 Data Science Tools
Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Toolkit for creating, sharing and using natural language prompts.
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLM Workshop by Sourab Mangrulkar
What would you do with 1000 H100s...
