- Paris, France
- https://dennishnf.com
- @dennishnf
Stars
This repo holds the code and the write up for a project I did on the NHANES health data.
A lightweight website to follow the ONPE vote count for Peru's 2026 presidential elections in real time.
Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study
A LaTeX class for producing presentations and slides
Companion webpage to the book "Mathematics For Machine Learning"
The official PyTorch implementation of L2CS-Net for gaze estimation and tracking
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
PyTorch implementations of Generative Adversarial Networks.
Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.
Active Acquisition for fastMRI
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Non-uniform fast Fourier transform library of types 1,2,3 in dimensions 1,2,3 on the CPU or GPU
Newton and Quasi-Newton optimization with PyTorch
CoreNet: A library for training deep neural networks
a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)
MRI external plugin for Python Sparse data Analysis Package
Doing non-Cartesian MR Imaging has never been so easy.
A unified framework for Deep Learning Models on tabular data
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The simplest way to run LLaMA on your local machine
Source code for the X Recommendation Algorithm
🤖 Machine Learning Summer School Guide
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
A collection of resources and papers on Diffusion Models
Optimized Stable Diffusion modified to run on lower GPU VRAM
OpenMMLab Detection Toolbox and Benchmark
A latent text-to-image diffusion model