Reverse Dependencies of iopath

The following projects have a declared dependency on iopath:

• ammico-lavis — LAVIS - A One-stop Library for Language-Vision Intelligence
• AppleT3 — Apple tree segmentation for young apple tree
• augly — A data augmentations library for audio, image, text, & video.
• bucketed-scene-flow-eval — Bucketed Scene Flow Evaluation
• cryoSPHERE — Structural heterogeneous cryoEM reconstruction: https://github.com/Gabriel-Ducrocq/cryoSPHERE
• dinov2 — PyTorch code and models for the DINOv2 self-supervised learning method.
• drop-backend — API and Command line tools for building drop
• easyeditor — easyeditor - Editing Large Language Models
• efficient-ocr — Efficient OCR
• efficient-track-anything — Efficient Track Anything
• encoded-video — Video utilities
• EncodedUriVideo — Video utilities
• ezflow — A PyTorch library for optical flow estimation using neural networks
• fake-check — baseline deepcheck module
• featureforest — A napari plugin for segmentation using vision transformer features
• Few-Shot-Learning-NLP — This library provides tools and utilities for Few Shot Learning in Natural Language Processing (NLP).
• frontveg — Segmentation of vegetation located to close to camera
• ft2bt — Automatic conversion from fault trees into behavior trees with formal verification capabilities
• fvbitcore — Fork of https://github.com/facebookresearch/fvcore with support for bitorch
• geoai-detectron2 — Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
• groundino-samnet — A SAM model with GroundingDINO model for feet segmentation
• jj-pytorchvideo — A video understanding deep learning library.
• meddlr — Meddlr is a config-driven framework built to simplify ML-based medical image reconstruction and analysis.
• mess-benchmark — MESS – Multi-domain Evaluation of Semantic Segmentation
• mimir-ai — no summary
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• MovieChat — Long video understanding
• Ocrversion1 — no summary
• Ocrversion2 — no summary
• omnidocs — no summary
• parlai — Unified platform for dialogue research.
• pixellib — PixelLib is a library used for easy implementation of semantic and instance segmentation of objects in images and videos with few lines of code.PixelLib makes it possible to train a custom segmentation model using few lines of code.PixelLib supports background editing of images and videos using few lines of code.
• pl-extension — extension for pytorch-lightning
• projectaria-atek — Aria training and evaluation kits
• pytorch3d — PyTorch3D is FAIR's library of reusable components for deep Learning with 3D data.
• salesforce-lavis — LAVIS - A One-stop Library for Language-Vision Intelligence
• samv2 — fork of the official SAMv2 implementation with cpu support
• samv2-webcam — CPU compatible fork of the official SAMv2 implementation with Webcam support
• shapeaxi — Shape Analysis Exploration and Interpretability
• skm-tea — A package for interacting with, visualizing, and benchmarking the SKM-TEA dataset
• sssegmentation — SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch
• t2v-metrics — Evaluating Text-to-Visual Generation with Image-to-Text Generation.
• TMtest1 — TradeMaster - A platform for algorithmic trading
• torchmultimodal-nightly — PyTorch Multimodal Library
• torchrec — TorchRec: Pytorch library for recommendation systems
• torchrec-cpu — Pytorch domain library for recommendation systems
• torchrec-nightly — Pytorch domain library for recommendation systems
• torchrec-nightly-cpu — Pytorch domain library for recommendation systems
• TradeMaster-try — TradeMaster - A platform for algorithmic trading
• trademaster-try1 — TradeMaster - A platform for algorithmic trading
• trademaster406 — TradeMaster - A platform for algorithmic trading
• turbo-alignment — turbo-alignment repository
• unimernet — UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition
• urartu — An open-source NLP framework that offers high-level wrappers designed for effortless launch, enhanced reproducibility, superior control, and unmatched flexibility for your experiments.
• video-clip — AskVideos-VideoCLIP model
• vissl — VISSL is an extensible, modular and scalable library for SOTA Self-Supervised Learning with images.