Reverse Dependencies of open-clip-torch

The following projects have a declared dependency on open-clip-torch:

• aesthetic-predictor — A python package of aesthetic quality of pictures a.k.a `aesthic-predictor`.
• all-clip — Load any clip model with a standardized interface
• anomalib — anomalib - Anomaly Detection Library
• auto1111sdk — SDK for Automatic 1111.
• autodistill-bioclip — BioCLIP model for use with Autodistill
• autodistill-metaclip — MetaCLIP base model for use with Autodistill.
• autodistill-remote-clip — Remote CLIP model for use with Autodistill
• beprepared — no summary
• chuchichaestli — Where you find all the state-of-the-art cooking utensils (salt, pepper, gradient descent... the usual).
• classifier-free-guidance-pytorch — Classifier Free Guidance - Pytorch
• CLIP-API-service — Build AI applications with any CLIP models - embed image and sentences, object recognition, visual reasoning, image classification and reverse image search
• clip-benchmark — CLIP-like models benchmarks on various datasets
• clip-inference — clip 数据推理
• clip-interrogator — Generate a prompt from an image
• clip-retrieval — Easily computing clip embeddings and building a clip retrieval system with them
• clip-video-encode — Easily compute clip embeddings from video frames
• clorps — CLORPS: A module for CLIP, LPIPS, and ORB based image similarity.
• comfylib — Stable Diffusion library, based on the implementation in ComfyUI
• comfyui — An installable version of ComfyUI
• controlnet — ControlNet - Adding Conditional Control to Text-to-Image Diffusion Models
• dalle2-pytorch — DALL-E 2
• datachain — Wrangle unstructured AI data at scale
• diffuzers — diffuzers
• dreamai-gen — no summary
• dreamsim — DreamSim similarity metric
• dvcx — DVCx
• exordium — Collection of utility tools and deep learning methods.
• finetuner-commons — The finetuner-commons package provides common functionality between core and client.
• gem-torch — GEM
• gen1 — Text to Video synthesis
• generate-od — A tool to generate origin-destination matrix for any given area.
• genQC — Generating quantum circuits with diffusion models
• gigagan-pytorch — GigaGAN - Pytorch
• hjxdl — A collection of functions for Jupyter notebooks
• horde-engine — A wrapper around ComfyUI to allow use by AI Horde.
• hordelib — A thin wrapper around ComfyUI to allow use by AI Horde.
• hspylib-askai — HomeSetup - AskAI
• imaginarium — no summary
• imscore — A small example package
• lancedb — lancedb
• legrad-torch — LeGrad
• libcom — Image Composition Toolbox
• llm-lens — llm-lens is a Python package for CV as NLP, where you can run very descriptive image modules on images, and then pass those descriptions to a Large Language Model (LLM) to reason about those images.
• mamba-clip — A package for training mamba vision model and text encoder using CLIP
• mantis-vl — Official Codes for of "MANTIS: Interleaved Multi-Image Instruction Tuning"
• maskinversion-torch — MaskInversion
• mmagic — OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox
• mmgpt — An open-source framework for multi-modality instruction fine-tuning
• model-sketch-book — A package for sketching ML models
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• naifu — naifu is designed for training generative models with various configurations and features.
• nataili — Nataili: Multimodal AI Python Library
• nemo-toolkit — NeMo - a toolkit for Conversational AI
• neurosis — A neural network trainer (for weebs)
• open-clip-torch — Open reproduction of consastive language-image pretraining (CLIP) and related.
• open-flamingo — An open-source framework for training large multimodal models
• open-gpts — An open-source implementation of large-scale language model (LLM).
• openclip-service — CLIP Service Network Application - service part
• opensr-test — A comprehensive benchmark for real-world Sentinel-2 imagery super-resolution
• optimum-intel — Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality.
• otter-ai — Otter: A Multi-Modal Model with In-Context Instruction Tuning
• paella — paella - Fast Text-Conditional Discrete Denoising on Vector-Quantized Latent Spaces
• paintmind — no summary
• perceptor — Modular image generation library
• perfusion-pytorch — Perfusion - Pytorch
• pybioclip — Python package that simplifies using the BioCLIP foundation model.
• rclip — AI-Powered Command-Line Photo Search Tool
• rshf — RS pretrained models in huggingface style
• scepter — no summary
• smart-reid — With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference CLI.
• softpandas — An easy to use semantic (soft) querying on pandas dataframes.
• sparseml — Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
• sparseml-nightly — Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
• stable-diffusion-sdkit — High-Resolution Image Synthesis with Latent Diffusion Models. This is a wrapper around the original repo, to allow installing via pip.
• stablefusion — StableFusion
• stuned — Utility code from STAI (https://scalabletrustworthyai.github.io/)
• superlinked — The Superlinked vector computing library
• t2iadapter — T2I-Adapter
• t2v-metrics — Evaluating Text-to-Visual Generation with Image-to-Text Generation.
• tglcourse — work-in-progress course
• thingsvision — Extracting image features from state-of-the-art neural networks for Computer Vision made easy
• tinydata — A cli tool for building computer vision datasets.
• tooncraftersimple — Simple Tooncrafter Implementation
• tx-extension-clip — Python Library for Threat Exchange CLIP Extension
• unibench — This repository is designed to simplify the evaluation process of vision-language models. It provides a comprehensive set of tools and scripts for evaluating VLM models and benchmarks.
• v-clip-server — Embed images and sentences into fixed-length vectors via CLIP
• video_sampler — Video Sampler -- sample frames from a video file
• zerommt — An open-source framework for zero-shot multimodal machine translation inference