- Bay Area, CA
- nrghosh.github.io
- in/nikhilghosh
Stars
Notebooks for the O'Reilly book "Learning Ray"
From the Transistor to the Web Browser, a rough outline for a 12 week course
GPU programming related news and material links
Batteries included open-source api-first status page aggregator
๐ฃ API Design interview questions and answers to help you prepare for your next software architecture and design patterns interview in 2025.
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
A self-hostable bookmark-everything app (links, notes and images) with AI-based automatic tagging and full text search
Official inference framework for 1-bit LLMs
asynchronous/distributed speculative evaluation for llama3
A high-throughput and memory-efficient inference and serving engine for LLMs
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
Code editing environment with an AI copilot and real-time collaboration
A deep-dive on the entire history of deep-learning
A ray tracer built in Rust that can run in your browser via WebAssembly.
Various data structures and algorithm implementations in rust based on Algorithms, 4th Edition from Sedgewick and Wayne.
An unnecessarily tiny implementation of GPT-2 in NumPy.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
llama3 implementation one matrix multiplication at a time
Recitation notes for cs4118, Operating Systems I
๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
๐ List of awesome university courses for learning Computer Science!
Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free
Improving robustness of models over long(er) contexts
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.
Export iMessage data + run iMessage Diagnostics