Stars
PyTorch code and pretrained weights for the UNIC models.
A resource for learning about Machine learning & Deep Learning
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"
A collection of modern/faster/saner alternatives to common unix commands.
ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations which measure how well they generalize to unseen concepts.
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
models and tools for -What makes ImageNet good for Transfer Learning?
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Joplin - the privacy-focused note taking app with sync capabilities for Windows, macOS, Linux, Android and iOS.
Deep semantic-visual embedding with localization
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Compute receptive fields of your favorite convnets
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Cyanure: An Open-Source Toolbox for Empirical Risk Minimization
18.335 - Introduction to Numerical Methods course
A collection of important graph embedding, classification and representation learning papers with implementations.
A collection of editorials and tutorials about Algorithms and Data Structures
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125