Clean, minimal, accessible reproduction of DeepSeek R1-Zero

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Everything you need to build state-of-the-art foundation models, end-to-end.

Language Model Benchmarking Tool

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Training Sparse Autoencoders on Language Models

Language model alignment-focused deep learning curriculum

Code / solutions for Mathematics for Machine Learning (MML Book)

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…

Collection of important articles to be treated as a textbook

here the notes provided by the seniors who already cracked IITs as well as how much I'll cover for my exams I'll provide my notes as well. If you want you can access the course by these links also

📚 📖 📚CSE GATE Resources for GATE and CSE Aspirants 😎 😁 . Show your ❤️ by ⭐️⭐️

NanoGPT (124M) in 3 minutes

ML-powered chess bot at ~1100 elo

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Warehouse Drone Theme of eYRC24-25

List of references and online resources related to data science, machine learning and deep learning.

A Repository consisting resources primarily of the Gate DA and AI

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

A PyTorch native library for large model training

Recurrent Neural Network - A curated list of resources dedicated to RNN

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Utilities for the HuggingFace transformers library

The project is to build a GPT-2 small model in Python using PyTorch without pre-built libraries, focusing on key features like embeddings, self-attention, and transformer layers, and to validate it…

A curated list of the most impressive AI papers

🔥Highlighting the top ML papers every week.