An open source implementation of CLIP.

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

[NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"

Cybertron: the home planet of the Transformers in Go

official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”

Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)

PyTorch code for MUST

Multi-Aspect Vision Language Pretraining - CVPR2024

Unofficial (Golang) Go bindings for the Hugging Face Inference API

Official PyTorch Implementation of MSDN (CVPR'22)

[TPAMI 2023] Generative Multi-Label Zero-Shot Learning

[ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"

[ICASSP 2025] Open-source code for the paper "Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification"

Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.

Implementation of Z-BERT-A: a zero-shot pipeline for unknown intent detection.

Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP models to do ZSC. Hence, can be lightweight + supports more languages without trading-off accuracy. (Super simple, a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da

Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"

[CVPR 2024] The official implementation of paper "Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training"