An open source implementation of CLIP.
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Updated
May 22, 2024 - Jupyter Notebook
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.
🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.
Video Foundation Models & Data for Multimodal Understanding
Cybertron: the home planet of the Transformers in Go
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”
[TPAMI 2023] Generative Multi-Label Zero-Shot Learning
PyTorch code for MUST
Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)
[NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
Implementation of Z-BERT-A: a zero-shot pipeline for unknown intent detection.
Perform topic classification on news articles in several limited-labeled data regimes.
Airflow Pipeline for Machine Learning
Official PyTorch Implementation of MSDN (CVPR'22)
Unofficial (Golang) Go bindings for the Hugging Face Inference API
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"
Interactive Reading Environment in Web-Based Virtual Reality (thesis project)
Code and Data sets for the EMNLP-2021-Findings Paper "ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection"
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