An open source implementation of CLIP.

[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"

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

PyTorch code for MUST

Multi-Aspect Vision Language Pretraining - CVPR2024

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"

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

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

Airflow Pipeline for Machine Learning

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

Actor-agnostic Multi-label Action Recognition with Multi-modal Query [ICCVW '23]

Deep Learning for Computer Vision 深度學習於電腦視覺 by Frank Wang 王鈺強

[ACL'23 Findings] This is the code repo for our ACL'23 Findings paper "ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval".

Code for EMNLP2019 paper : "Benchmarking zero-shot text classification: datasets, evaluation and entailment approach"

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