- Millbrae
-
15:21
(UTC -08:00) - https://rsnemmen.github.io
- in/nemmen
Highlights
- Pro
Stars
Implement a reasoning LLM in PyTorch from scratch, step by step
An Obtainium import file containing an Android emulation pack
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
A beautiful, simple, clean, and responsive Jekyll theme for academics
A modernized, complete, self-contained TeX/LaTeX engine, powered by XeTeX and TeXLive.
A new way to see and navigate directory trees : https://dystroy.org/broot
A smarter cd command. Supports all major shells.
Experience macOS just like before
Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
A roadmap to guide you through mastering SQL for Data Science in just 6 weeks for free
Magnificent app which corrects your previous console command.
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
Anbernic H700 Stock OS Modification
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
For our CCS24 paper 🏆 "ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries" by Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, and Xiangyu Zhang. …
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
AI Agents tailored to the CAMELS project
Cooling processes involving the generation of cooling table
Gemba / skyscraper
Forked from detain/skyscraperPowerful and versatile game data scraper written in Qt and C++.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step