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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
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 standard framework for modelling Deep Learning Models for 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.
High-Resolution Image Synthesis with Latent Diffusion Models
The simplest way to run LLaMA on your local machine
Source code for Twitter's 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
DyREx: Dynamic Query Representation for Extractive Question Answering, accepted at ENSLP@NeurIPS2022
Efficient few-shot learning with Sentence Transformers
This repository describes the implementation of an unsupervised anomaly detector using the Anomalib library.