facebookresearch / ssl-data-curationLinks
PyTorch code for hierarchical k-means -- a data curation method for self-supervised learning
☆157Updated last year
Alternatives and similar repositories for ssl-data-curation
Users that are interested in ssl-data-curation are comparing it to the libraries listed below
Sorting:
- ☆203Updated last year
- A framework for merging models solving different tasks with different initializations into one multi-task model without any additional tr…☆301Updated last year
- Official code for "TOAST: Transfer Learning via Attention Steering"☆189Updated last year
- When do we not need larger vision models?☆401Updated 5 months ago
- Learning from synthetic data - code and models☆319Updated last year
- The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"☆244Updated 5 months ago
- Python Library to evaluate VLM models' robustness across diverse benchmarks☆208Updated last week
- [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"☆315Updated last year
- Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)☆169Updated 3 weeks ago
- Code release for "Improved baselines for vision-language pre-training"☆60Updated last year
- VLM Evaluation: Benchmark for VLMs, spanning text generation tasks from VQA to Captioning☆117Updated 10 months ago
- Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time☆474Updated last year
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆304Updated 3 months ago
- ☆77Updated 9 months ago
- Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.☆159Updated last year
- Sparse Linear Concept Embeddings☆108Updated 3 months ago
- [Fully open] [Encoder-free MLLM] Vision as LoRA☆316Updated last month
- Matryoshka Multimodal Models☆111Updated 5 months ago
- [CVPR 2025 Highlight] The official CLIP training codebase of Inf-CL: "Breaking the Memory Barrier: Near Infinite Batch Size Scaling for C…☆260Updated 6 months ago
- Official repository for the MMFM challenge☆25Updated last year
- Patching open-vocabulary models by interpolating weights☆91Updated last year
- Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training☆138Updated 2 years ago
- [CVPR 2023] Learning Visual Representations via Language-Guided Sampling☆149Updated 2 years ago
- [CVPR'24 Highlight] PyTorch Implementation of Object Recognition as Next Token Prediction☆180Updated 2 months ago
- Code for "Scaling Language-Free Visual Representation Learning" paper (Web-SSL).☆157Updated 2 months ago
- [ECCV 2024] Official Release of SILC: Improving vision language pretraining with self-distillation☆44Updated 9 months ago
- Code and weights for the paper "Cluster and Predict Latents Patches for Improved Masked Image Modeling"☆112Updated 3 months ago
- Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"☆101Updated 10 months ago
- ☆181Updated 9 months ago
- (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"☆111Updated last year