LAION-AI / CLIP_benchmarkLinks
CLIP-like model evaluation
☆741Updated last week
Alternatives and similar repositories for CLIP_benchmark
Users that are interested in CLIP_benchmark are comparing it to the libraries listed below
Sorting:
- Robust fine-tuning of zero-shot models☆724Updated 3 years ago
- DataComp: In search of the next generation of multimodal datasets☆726Updated 3 months ago
- Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm☆660Updated 2 years ago
- Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch☆1,162Updated last year
- GIT: A Generative Image-to-text Transformer for Vision and Language☆572Updated last year
- Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch☆1,250Updated 2 years ago
- 🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".☆482Updated last year
- A method to increase the speed and lower the memory footprint of existing vision transformers.☆1,079Updated last year
- [CVPR 2022] Official code for "Unified Contrastive Learning in Image-Text-Label Space"☆402Updated last year
- A PyTorch Lightning solution to training OpenAI's CLIP from scratch.☆706Updated 3 years ago
- [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"☆316Updated last year
- ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Expert…☆1,528Updated this week
- Official Open Source code for "Scaling Language-Image Pre-training via Masking"☆426Updated 2 years ago
- Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.☆394Updated 2 weeks ago
- Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).☆1,207Updated last year
- A concise but complete implementation of CLIP with various experimental improvements from recent papers☆711Updated last year
- Code release for SLIP Self-supervision meets Language-Image Pre-training☆773Updated 2 years ago
- Multi-modality pre-training☆497Updated last year
- When do we not need larger vision models?☆403Updated 5 months ago
- Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time☆477Updated last year
- OpenAI CLIP text encoders for multiple languages!☆808Updated 2 years ago
- [CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses tha…☆898Updated last month
- Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)☆920Updated last year
- 🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models".☆459Updated last year
- Official code for VisProg (CVPR 2023 Best Paper!)☆739Updated 11 months ago
- [CVPR 2022] Official code for "RegionCLIP: Region-based Language-Image Pretraining"☆777Updated last year
- [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decode…☆859Updated last year
- A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''☆1,321Updated last year
- Chatbot Arena meets multi-modality! Multi-Modality Arena allows you to benchmark vision-language models side-by-side while providing imag…☆531Updated last year
- ☆633Updated last year