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Search results for pytorch metrics

59 search results found

Supervision ⭐ 9,320

We write your reusable computer vision tools. 💜

State Of The Art Result For Machine Learning Problems ⭐ 8,952

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Ignite ⭐ 4,409

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Serve ⭐ 3,844

Serve, optimize and scale PyTorch models in production

Perceptualsimilarity ⭐ 3,134

LPIPS metric. pip install lpips

Silero Vad ⭐ 2,339

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

Pytorch Nlp ⭐ 2,180

Basic Utilities for PyTorch Natural Language Processing (NLP)

Torchmetrics ⭐ 1,913

Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.

Hiddenlayer ⭐ 1,750

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

Avalanche ⭐ 1,583

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Measures and metrics for image2image tasks. PyTorch.

Examples ⭐ 1,028

Example deep learning projects that use wandb's features.

Torch Fidelity ⭐ 820

High-fidelity performance metrics for generative models in PyTorch

Centermask2 ⭐ 673

CenterMask : Real-time Anchor-Free Instance Segmentation, in CVPR 2020

Disentangling Vae ⭐ 668

Experiments for understanding disentanglement in VAE latent representations

A High Level API for Deep Learning in JAX

Powerful Benchmarker ⭐ 426

A library for ML benchmarking. It's powerful.

Laneatt ⭐ 418

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

Torch Toolbox ⭐ 411

🛠 Toolbox to extend PyTorch functionalities

Kaggle Imaterialist ⭐ 406

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

PyTorch Image Quality Assessement package

Deep Metric Learning Baselines ⭐ 330

PyTorch Implementation for Deep Metric Learning Pipelines

Neural Pipeline ⭐ 314

Neural networks training pipeline based on PyTorch

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

Vovnet Detectron2 ⭐ 300

VoVNet backbone networks for detectron2, in CVPR 2020

Proxy Anchor Cvpr2020 ⭐ 259

Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020

A unified evaluation library for multiple machine learning libraries

Volksdep ⭐ 214

volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.

Metric Learning Divide And Conquer ⭐ 213

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

Magnetloss Pytorch ⭐ 213

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

Intrinsic Image Popularity ⭐ 189

The pytorch code of the paper "Intrinsic Image Popularity Assessment"

Perceptualimageerror ⭐ 182

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

Comprehensive NLP Evaluation System

Tensordash ⭐ 139

TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed or crashed.

Few Shot Ctm ⭐ 116

Few shot learning

Proxy Nca ⭐ 114

PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies` (as introduced by Google Research).

Lpips Pytorch ⭐ 114

A simple and useful implementation of LPIPS.

Model_log ⭐ 94

Model Log 是一款基于 Python3 的轻量级机器学习(Machine Learning)、深度学习(Deep Learning)模型训练评估指标可视化工具，可以记录模型训练过程当中的超参数、Loss、Accur

code for ICCV19 paper "Deep Meta Metric Learning"

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

Fastap Metric Learning ⭐ 85

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

Torch Metrics ⭐ 78

Metrics for model evaluation in pytorch

Deepspectralclustering ⭐ 77

Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper

Fasttrackml ⭐ 77

Experiment tracking server focused on speed and scalability

Nlg Metricverse ⭐ 75

[COLING22] An End-to-End Library for Evaluating Natural Language Generation

ML model serving app based on APIs

PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)

PyTorch Implementation of OpenAI GPT-2

Metriclearningbench ⭐ 64

Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products

Pymetric ⭐ 63

pytorch metric learning tools and pycls

Recommender_pytorch ⭐ 63

A recommender system in PyTorch from scratch.

Deep_sort_realtime ⭐ 61

A really more real-time adaptation of deep sort

Iccv2019_mic ⭐ 59

(ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliary training task to explain away intra-class variations.

Lpips Tensorflow ⭐ 58

Tensorflow port for the Learned Perceptual Image Patch Similarity (LPIPS) metric.

IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.

Open Ucn ⭐ 52

Fully convolutional metric learning for geometric image correspondences.

Experiments logging & visualization

Beyond Binary Supervision Cvpr19 ⭐ 46

Official pytorch Implementation of Deep Metric Learning Beyond Binary Supervision, CVPR 2019

Transformers Lightning ⭐ 46

A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transformers.

Proxygml ⭐ 37

Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)

Common_metrics_on_video_quality ⭐ 34

You can easily calculate FVD, PSNR, SSIM, LPIPS for evaluating the quality of generated or predicted videos.

Calibration_library ⭐ 31

Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!

Evolutionarygan Pytorch ⭐ 31

The author's officially unofficial Pytorch EvolutionaryGAN implementation.

Speakerembeddinglosscomparison ⭐ 30

Companion repository for the paper "A Comparison of Metric Learning Loss Functions for End-to-End Speaker Verification" published at SLSP 2020

Awesome Few Shot Meta Learning ⭐ 27

awesome few shot / meta learning papers

Visdial Diversity ⭐ 26

Pytorch implementation of https://arxiv.org/pdf/1909.10470.pdf

IQA: Deep Image Structure and Texture Similarity Metric

Online_dialog_eval ⭐ 23

Code for the paper "Learning an Unreferenced Metric for Online Dialogue Evaluation", ACL 2020

Cartpole Rl Remote ⭐ 22

CartPole game by Reinforcement Learning, a journey from training to inference

Pytorch implementation of Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning (Chen et al)

Imagefusion Nestfuse ⭐ 20

NestFuse (IEEE TIM 2020)- Pytorch >= 0.4.1

Torch_snippets ⭐ 20

Utilities for simple needs

Instance Seg ⭐ 20

instance segmentation with deep metric learning and context

Pytorch Hdml ⭐ 20

Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch

Metriclearning Mnist Pytorch ⭐ 19

Playground of Metric Learning with MNIST @pytorch. We provide ArcFace, CosFace, SphereFace, CircleLoss and visualization.

Db_text_minimal ⭐ 19

[WIP] A Pytorch implementation of DB-Text - Real-time Scene Text Detection with Differentiable Binarization

Objtrack ⭐ 19

实现常用的目标跟踪算法

Pytorch Siamese Triplet ⭐ 18

One-Shot Learning with Triplet CNNs in Pytorch

PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"

Eval Co Sod ⭐ 16

PyTorch-Based Evaluation Tool for Co-Saliency Detection

Online Soft Mining And Class Aware Attention Pytorch ⭐ 15

(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)

Polyloss ⭐ 15

Source code of Universal Weighting Metric Learning for Cross-Modal Matching. The paper is accepted by CVPR2020.

Keras4torch ⭐ 15

A compatible-with-keras wrapper for training PyTorch models✨

Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning

Record Keeper ⭐ 14

Record experiment data easily

Sal Cfs Gan ⭐ 13

TIP2019-GazeGAN Saliency Model

Pytorch Metrics ⭐ 13

Implementation of Evaluation Metrics for Pytorch

Seg_metrics_pytorch ⭐ 12

Semantic Segmentation Metrics Functions on pytorch.[Currently for PASCAL VOC 2012, easily expandable]

Vpgnet Pytorch ⭐ 12

A Pytorch implementation of VPGNet

Torchfusion Utils ⭐ 11

A pytorch helper library for Mixed Precision Training, Initialization, Metrics and More Utilities to simplify training of deep learning models

Deep_metric_loss ⭐ 11

Evaluation Metrics ⭐ 10

各种算法评价指标的实现（mAP/Flops/params/fps/error-rate/accura

An easy-to-use library to linguistically compare one sentence and its words to another, in the same language or a different one. For instance useful for comparing a translation with the original text, to find differences and similarities between two different translations, or to see how a machine translation differs from a reference translation.

Ap_perf_py ⭐ 10

A Python interface to the AdversarialPrediction.jl (https://github.com/rizalzaf/AdversarialPrediction

Csdisentanglement_metrics_library ⭐ 10

This repository constists of the implementations of the Distance Correlation (DC) and Information Over Bias (IOB) metrics proposed in [link]. The two metrics can be used to assess the level of disentanglement between spatial content and vector style representations. Both metrics are ready to use with PyTorch and TensorFlow implementations.

Weakly Supervised Temporal Action Localization Using Deep Metric Learning

Pytorch Hyperlight ⭐ 9

The ML micro-framework built as a thin wrapper around PyTorch-Lightning and Ray Tune frameworks to push the boundaries of simplicity even further.

Reinforcement ⭐ 9

Reinforcement learning modular with pytorch

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