Reverse Dependencies of fvcore

The following projects have a declared dependency on fvcore:

• aigve — A comprehensive and structured evaluation framework for assessing AI-generated video quality.
• alphadetector — object detection using yolo, tf2 and detectron2
• automationobjectdetection-sandeepjena7 — no summary
• bucketed-scene-flow-eval — Bucketed Scene Flow Evaluation
• classy-vision — An end-to-end PyTorch framework for image and video classification.
• cryoSPHERE — Structural heterogeneous cryoEM reconstruction: https://github.com/Gabriel-Ducrocq/cryoSPHERE
• ddbg — Debugger for ML Datasets
• detectron2-layers — A replacement for detectron2.layers, specifically for use by SegGPT.
• dinov2 — PyTorch code and models for the DINOv2 self-supervised learning method.
• dlg-home-content — model to identify tv sizes using images
• DocumentLayoutAnalysis — DIT document layout
• efficient-track-anything — Efficient Track Anything
• enot-prunable-modules — Prunable modules for ENOT Framework
• evolly — Evolutionary NAS framework
• ezflow — A PyTorch library for optical flow estimation using neural networks
• fake-check — baseline deepcheck module
• Few-Shot-Learning-NLP — This library provides tools and utilities for Few Shot Learning in Natural Language Processing (NLP).
• file-cache — Cache dataframe with local hd5 file, and reduce the memory by convert type for number
• flopper — A Python to count flops of pytorch models.
• ft2bt — Automatic conversion from fault trees into behavior trees with formal verification capabilities
• geoai-detectron2 — Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
• IMDLBenCo — A comprehensive benchmark and code base for Image manipulation and localization.
• jahs-bench — The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.
• jj-pytorchvideo — A video understanding deep learning library.
• layout-v — no summary
• meddlr — Meddlr is a config-driven framework built to simplify ML-based medical image reconstruction and analysis.
• medsegpy — MedSegPy is a framework for research on medical image segmentation.
• meerkat-ml — Meerkat is building new data abstractions to make machine learning easier.
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• natten — Neighborhood Attention Extension.
• neptune-detectron2 — Neptune.ai detectron2 integration library
• netspresso-trainer — NetsPresso Python Package
• neuralcompression — A collection of tools for neural compression enthusiasts
• nstm — This is a test for my python package upload to pypi
• odcommonapp — Object detection common framework application
• onnx2kerastl — no summary
• optuna — A hyperparameter optimization framework
• pegasusX — pegasus - Pytorch
• 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.
• projectaria-atek — Aria training and evaluation kits
• pytext-nlp — pytorch modeling framework and model zoo for text models
• pytorch3d — PyTorch3D is FAIR's library of reusable components for deep Learning with 3D data.
• PyVirtry — no summary
• 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
• supr-convertor — A simple tool to convert SMPL-X model parameters to SUPR model parameters.
• TDY-PKG — its an implimentation of TF-2 , Detectron and yolov5
• TDY-PKG-saquibquddus — its an implimentation of TF-2 , Detectron and yolov5
• tensorscope — Analyze PyTorch models to determine limiting factors in each layer.
• tl2 — A personal package for research
• torch-dag — torch-dag is a repository in which we implement a graph-like representation for torch models so that we have a unified structure for every model.
• torch-skeleton — skeleton datasets and transforms for pytorch
• torchtops — TOPS profiler of each layers of model
• treetoolml — Python package for tree detection, segmentation and extraction of DBH
• Unlearn-Diff — Unlearning Algorithms
• uval — This python package is meant to provide a high level interface to facilitate the evaluation of object detection and segmentation algorithms that operate on 3D volumetric data.
• vbench — Video generation benchmark
• vissl — VISSL is an extensible, modular and scalable library for SOTA Self-Supervised Learning with images.
• xautodl — Automated Deep Learning Package
• ytd — object detection using yolo, tf2 and detectron2
• yucca — The modern framework for sandbox experimentation and out-of-the box machine learning on medical data.