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150 search results found

Awesome Semantic Segmentation ⭐ 10,323

🤘 awesome-semantic-segmentation

Fashion Mnist ⭐ 9,856

A MNIST-like fashion product database. Benchmark 👇

Mmaction2 ⭐ 3,647

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Benchmark_results ⭐ 2,992

Visual Tracking Paper List

Benchmarking Gnns ⭐ 2,196

Repository for benchmarking graph neural networks

Benchm Ml ⭐ 1,839

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Fast Deep Equal ⭐ 1,755

The fastest deep equality check with Date, RegExp and ES6 Map, Set and typed arrays support

Avalanche ⭐ 1,583

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

Deepmoji ⭐ 1,462

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

Multi-class confusion matrix library in Python

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Dequal ⭐ 1,233

A tiny (304B to 489B) utility to check for deep equality

Slm Lab ⭐ 1,052

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Medmnist ⭐ 903

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

Tracking Any Point (TAP)

Therapeutics Data Commons: Artificial Intelligence Foundation for Therapeutic Science

Torchmoji ⭐ 882

😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。

Omnisafe ⭐ 831

OmniSafe is an infrastructural framework for accelerating SafeRL research.

Bolt is a deep learning library with high performance and heterogeneous flexibility.

Awesome Industrial Anomaly Detection ⭐ 670

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

Mimic3 Benchmarks ⭐ 661

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

Long Range Arena ⭐ 635

Long Range Arena for Benchmarking Efficient Transformers

Weatherbench ⭐ 615

A benchmark dataset for data-driven weather forecasting

Adbench ⭐ 609

Official Implement of "ADBench: Anomaly Detection Benchmark".

Overcooked_ai ⭐ 593

A benchmark environment for fully cooperative human-AI performance.

Bdl Benchmarks ⭐ 571

Bayesian Deep Learning Benchmarks

Openmixup ⭐ 538

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

Pdebench ⭐ 522

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Torchgpipe ⭐ 479

A GPipe implementation in PyTorch

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

Opencv_zoo ⭐ 471

Model Zoo For OpenCV DNN and Benchmarks.

Openstl ⭐ 450

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Awesome Panoptic Segmentation ⭐ 430

Panoptic Segmentation Resources List

Powerful Benchmarker ⭐ 426

A library for ML benchmarking. It's powerful.

Fast Equals ⭐ 393

A blazing fast equality comparison, either shallow or deep

Pytorch Correlation Extension ⭐ 385

Custom implementation of Corrleation Module

DrQ: Data regularized Q

Deepmark ⭐ 363

THE Deep Learning Benchmarks

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Fedscale ⭐ 347

FedScale is a scalable and extensible open-source federated learning (FL) platform.

Face Landmarks Detection Benchmark ⭐ 345

Face landmarks(fiducial points) detection benchmark

Benchmarking Keras Pytorch ⭐ 342

🔥 Reproducibly benchmarking Keras and PyTorch models

Visual Tracking Development ⭐ 337

Visual Object Tracking

[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

Fashion Landmarks ⭐ 327

Fashion Landmark Detection in the Wild

The PatchCamelyon (PCam) deep learning classification benchmark.

Mobile Ai Bench ⭐ 292

Benchmarking Neural Network Inference on Mobile Devices

DANCE: A Deep Learning Library and Benchmark Platform for Single-Cell Analysis

Naszilla ⭐ 269

Naszilla is a Python library for neural architecture search (NAS)

Dialoglue ⭐ 256

DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

Awesome_satellite_benchmark_datasets ⭐ 231

Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

Openvqa ⭐ 225

A lightweight, scalable, and general framework for visual question answering research

Sarosperceptionkitti ⭐ 221

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

Benchmarking synthetic data generation methods.

Transformer_str ⭐ 197

PyTorch implementation of my new method for Scene Text Recognition (STR) based on Transformer,Equipped with Transformer, this method outperforms the best model of the aforementioned deep-text-recognition-benchmark by 7.6% on CUTE80.

Modelnet40 C ⭐ 184

Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296

Awesome Llm Eval ⭐ 183

Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, learderboard, papers, docs and models, mainly for Evaluation on LLMs.

Get Value ⭐ 177

Use property paths (`a.b.c`) get a nested value from an object.

Geodesc ⭐ 176

Implementation of ECCV'18 paper - GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints

RoNIN: Robust Neural Inertial Navigation in the Wild

Dlbench ⭐ 166

Benchmarking State-of-the-Art Deep Learning Software Tools

Torch Scan ⭐ 164

Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)

Ultimatemrz Sdk ⭐ 149

Machine-readable zone/travel document (MRZ / MRTD) detector and recognizer using deep learning

Ai Matrix ⭐ 148

To make it easy to benchmark AI accelerators

Clean Set ⭐ 141

A deep assignment alternative to the object spread operator and Object.assign

Models Comparison.pytorch ⭐ 141

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Vgg Benchmarks ⭐ 138

Simple benchmark of deep learning frameworks on VGG-16

Cd Diagram ⭐ 134

Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

Daily Paper Visual Tracking ⭐ 132

记录每天整理的视觉目标跟踪论文

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Elbencho ⭐ 125

A distributed storage benchmark for file systems, object stores & block devices with support for GPUs

Tf Metal Experiments ⭐ 123

TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)

Dlcookbook Dlbs ⭐ 120

Deep Learning Benchmarking Suite

Deep Visual Geo Localization Benchmark ⭐ 117

Official code for CVPR 2022 (Oral) paper "Deep Visual Geo-localization Benchmark"

Tape Neurips2019 ⭐ 115

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

Co Learning Learning From Noisy Labels With Self Supervision ⭐ 107

The official implementation of the ACM MM'2021 paper Co-learning: Learning from noisy labels with self-supervision.

Kaggle Dogs Vs Cats Caffe ⭐ 105

Kaggle dogs vs cats solution in Caffe

DeepOBS: A Deep Learning Optimizer Benchmark Suite

Obman_train ⭐ 96

[cvpr19] Demo, training and evaluation code for generating dense hand+object reconstructions from single rgb images

Oneflow Benchmark ⭐ 95

OneFlow models for benchmarking.

Proteinworkshop ⭐ 93

Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities.

CORe50: a new Dataset and Benchmark for Continual Learning

[RA-L2022] V2X-Sim Dataset and Benchmark

Ultimatecreditcard Sdk ⭐ 82

Bank credit card deep layout analysis, fields extraction and recognition/OCR (ScanToPay) using deep learning

Facies_classification_benchmark ⭐ 78

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).

Meta Blocks ⭐ 75

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

Perfect_match ⭐ 75

➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.

Jama16 Retina Replication ⭐ 75

JAMA 2016; 316(22) Replication Study

Ncnn Benchmark ⭐ 66

The benchmark of ncnn that is a high-performance neural network inference framework optimized for the mobile platform

The first-ever vast natural language generation benchmark for Indonesian, Sundanese, and Javanese. We provide multiple downstream tasks, pre-trained IndoGPT and IndoBART models, and a starter code! (EMNLP 2021)

[NeurlPS 2023] A Dataset and Benchmark for Pose-agnostic Anomaly Detection. Feel free to explore the brand new anomaly detection setting using our dataset🪀!

Clinical Trial Outcome Prediction ⭐ 60

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

Deep Learning Benchmarks ⭐ 59

Raw Benchmark Data for Popular Machine Learning Frameworks

Form2fit ⭐ 57

Train generalizable policies for kit assembly with self-supervised dense correspondence learning.

Convolutionalneuraloperator ⭐ 52

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

Tlcbench ⭐ 51

Benchmark scripts for TVM

Wild Places ⭐ 51

[ICRA2023] The official repository for paper "Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments" To appear in 2023 IEEE International Conference on Robotics and Automation (ICRA)

UBC ARBERT and MARBERT Deep Bidirectional Transformers for Arabic

Ncnn Android Benchmark ⭐ 47

ncnn android benchmark app

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