Simple (slightly optimized) implementation of Tensor Product Attention from the T6 paper with a KV cache

for adding different attention methods

🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"

Efficient triton implementation of Native Sparse Attention.

research impl of Native Sparse Attention (2502.11089)

Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper

FlashMLA: Efficient MLA decoding kernels

Leetcode for Pytorch

Fully open reproduction of DeepSeek-R1

Generate a comprehensive review from an arXiv paper, then turn it into a blog post. This project powers the website below for the HuggingFace's Daily Papers (https://huggingface.co/papers).

Final project for CSCA 5642

Code for BLT research paper

A standard framework for modelling Deep Learning Models for tabular data

Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mam…

NLP text classification for DS-MS Deep learning RNN models

Scapy: the Python-based interactive packet manipulation program & library.

GitHub Pages repository for https://guedou.github.io

Computer Networks: A Systems Approach -- Textbook

kotlin-ktor-starter

📚 Solutions to Introduction to Algorithms Third Edition

📓Solutions to Introduction to Algorithms

📓Solutions to Introduction to Algorithms

Repo to hold code and track issues for the collection of permissively licensed data

Deep learning in Rust, with shape checked tensors and neural networks