A Jupyter widget for annotating images with bounding boxes

A quick and simple tool for labeling images, videos and time series data, right from Jupyter!

This repository contains the official implementation of the research paper, "MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training" CVPR 2024

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

Efficient few-shot learning with Sentence Transformers

Code for the Kaggle Ensembling Guide Article on MLWave

Accurate reimplementation of WinCLIP (pytorch version)

[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".

Implementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same zero-/few-shot AD performance as that in the original paper.

Awesome Fine-Grained Image Classification

Domain-Controlled Prompt Learning （AAAI2024）

Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting

Fine-tuning OpenAI CLIP Model for Image Search on medical images

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

A curated list of foundation models for vision and language tasks

Code release for SLIP Self-supervision meets Language-Image Pre-training

Building blocks for foundation models.

Papers for database systems powered by artificial intelligence (machine learning for database)

Reproducing images with geometric primitives.

Decode JPEG image on GPU using PyTorch

Boilerplate & template for Next.js project deployable on Vercel. Firebase, shadcn/ui and Tailwind.

i18n for ISO 3166-1 country codes

A curated list of engineering blogs

✅ ✅ ✅ A massive repo filled with notes on everything from coding to philosophy to psychology to marketing to product

Yer işaretlerinizi paylaşın, yeni içerikleri keşfedin ve daha önce hiç olmadığı kadar ilham dolu olun!

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

A futuristic app which calculates your carbon footprint due to Travel, Food and Household activities. Gives you tips to reduce your carbon footprints.