#
Arjun-G-Ravi
Follow
Lists (2)
Starred repositories
162
results
for source starred repositories
Clear filter
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 ⭐️⭐️
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 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.
Mechanistic Interpretability Visualizations using React
