CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

[ICCV 2019] Monocular depth estimation from a single image

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

A simplified implemention of Faster R-CNN that replicate performance from origin paper

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

High Quality Monocular Depth Estimation via Transfer Learning

Tensors, for human consumption

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

A dataset of datasets for learning to learn from few examples

A library for ML benchmarking. It's powerful.

Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.

Change the tense of any text

This is the github repo for our LM4SCI@COLM25 paper "The Ram\'{o}n Llull's Thinking Machine for Automated Ideation".

This is the github repo for our CoLM 2024 paper "Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness".

predict the user big issues with the aspects