Alternatives and similar repositories for ml-tic-clip:

Users that are interested in ml-tic-clip are comparing it to the libraries listed below

• kaiyuyue / nxtp
  Object Recognition as Next Token Prediction (CVPR 2024 Highlight)
  ☆169Updated 3 weeks ago
• kirill-vish / Beyond-INet
  Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
  ☆100Updated 4 months ago
• Understanding-Visual-Datasets / VisDiff
  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)
  ☆112Updated 9 months ago
• UX-Decoder / FIND
  [NeurIPS 2024] Official implementation of the paper "Interfacing Foundation Models' Embeddings"
  ☆118Updated 4 months ago
• apple / ml-mofi
  ☆58Updated 10 months ago
• hila-chefer / Conceptor
  Official implementation of the paper The Hidden Language of Diffusion Models
  ☆69Updated 11 months ago
• OliverRensu / D-iGPT
  [ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Lea…
  ☆97Updated 8 months ago
• UCDvision / NOLA
  Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"
  ☆50Updated 4 months ago
• google-research / silc
  [ECCV 2024] Official Release of SILC: Improving vision language pretraining with self-distillation
  ☆40Updated 3 months ago
• zeyofu / BLINK_Benchmark
  This repo contains evaluation code for the paper "BLINK: Multimodal Large Language Models Can See but Not Perceive". https://arxiv.or…
  ☆112Updated 6 months ago
• Adamdad / neumeta
  NeuMeta transforms neural networks by allowing a single model to adapt on the fly to different sizes, generating the right weights when n…
  ☆38Updated 2 months ago
• apple / ml-veclip
  The official repo for the paper "VeCLIP: Improving CLIP Training via Visual-enriched Captions"
  ☆238Updated 4 months ago
• sehyunkwon / ICTC
  This is a public repository for Image Clustering Conditioned on Text Criteria (IC|TC)
  ☆83Updated 9 months ago
• facebookresearch / clip-rocket
  Code release for "Improved baselines for vision-language pre-training"
  ☆58Updated 8 months ago
• chenllliang / DnD-Transformer
  Source code for paper "A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image …
  ☆62Updated last month
• alhojel / visual_task_vectors
  ☆35Updated 5 months ago
• WalBouss / MaskInversion
  ☆22Updated 3 months ago
• hammoudhasan / SynthCLIP
  Code base of SynthCLIP: CLIP training with purely synthetic text-image pairs from LLMs and TTIs.
  ☆90Updated 9 months ago
• alenic / timm-models-explorer
  Timm model explorer
  ☆36Updated 9 months ago
• k1rezaei / Text-to-concept
  ☆31Updated 11 months ago
• Jiahao000 / MosaicFusion
  [IJCV 2024] MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
  ☆118Updated 3 months ago
• LAION-AI / General-GPT
  ☆64Updated last year
• facebookresearch / PartDistillation
  Code release for the CVPR'23 paper titled "PartDistillation Learning part from Instance Segmentation"
  ☆59Updated last year
• umd-huang-lab / perceptionCLIP
  Code for our ICLR 2024 paper "PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts"
  ☆76Updated 8 months ago
• huggingface / amused
  ☆82Updated last year
• WalBouss / LeGrad
  ☆62Updated 3 months ago
• kyegomez / BRAVE-ViT-Swarm
  Implementation of the paper: "BRAVE : Broadening the visual encoding of vision-language models"
  ☆22Updated this week
• AtsuMiyai / UPD
  Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models
  ☆72Updated 4 months ago
• prometheus-eval / prometheus-vision
  [ACL 2024 Findings & ICLR 2024 WS] An Evaluator VLM that is open-source, offers reproducible evaluation, and inexpensive to use. Specific…
  ☆62Updated 4 months ago
• facebookresearch / EvalGIM
  🦾 EvalGIM (pronounced as "EvalGym") is an evaluation library for generative image models. It enables easy-to-use, reproducible automatic…
  ☆61Updated 3 weeks ago