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150 search results found

Pytorch Benchmark ⭐ 47

Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption

Policy Adaptation During Deployment ⭐ 46

Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

Dlinfbench ⭐ 42

CNN model inference benchmarks for some popular deep learning frameworks

Sugar Crepe ⭐ 40

[NeurIPS 2023] A faithful benchmark for vision-language compositionality

Physics Benchmarking Neurips2021 ⭐ 40

Repo for "Physion: Evaluating Physical Prediction from Vision in Humans and Machines", presented at NeurIPS 2021 (Datasets & Benchmarks track)

Empower the quality enhancement approaches for compressed images/videos.

Deep Learning Resources ⭐ 39

A place to gather deep learning resources

Eegdenoisenet ⭐ 39

EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.

Spatiotemporal_datasets ⭐ 39

Spatiotemporal datasets collected for network science, deep learning and general machine learning research.

Image Compression Benchmarking ⭐ 36

Image compression codecs benchmark inspired by Google's "Full Resolution Image Compression with Recurrent Neural Networks"

Srsurvey ⭐ 36

A Deep Journey into Super-resolution: A Survey, ACM Computing Surveys

Benchpress Tree ⭐ 36

A reference implementation of a benchpress deep-tree benchmark as seen in Angular

Vanishing_points_2017 ⭐ 33

Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection

Metric_learning ⭐ 33

Metric Learning App Dev Resource

Automatic Personality Prediction ⭐ 33

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Text Classification Cn ⭐ 33

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Deep Learning Benchmarks ⭐ 31

Re Ranking For Vpr ⭐ 31

Code for "Are Local Features All You Need for Cross-Domain Visual Place Recognition?" CVPR IMW 2023.

💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

Catalyst Rl Framework ⭐ 29

Catalyst.RL: A Distributed Framework for Reproducible RL Research

Deep Learning On Ec2 ⭐ 29

Deep learning on EC2 AWS

Mac Ml Speed Test ⭐ 27

A few quick scripts focused on testing TensorFlow/PyTorch/Llama 2 on macOS.

Repository for Deep Active Localization research and benchmarks

Repository for the paper "ViHOS: Vietnamese Hate and Offensive Spans Detection" (EACL2023)

A Comprehensive and Versatile Open-Source Federated Learning Framework

A Benchmark for Seismic Velocity Inversion from Synthetics

Ghost Deblurgan ⭐ 25

This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.

Icor Codon Optimization ⭐ 25

RNN-based Codon Optimization Tool. Publication: https://doi.org/10.1186/s12859-023-05246-8

Weather4cast ⭐ 25

Code accompanying our IARAI Weather4cast Challenge

Benchmarks of Deep Neural Networks

ROCm Machine Learning and HPC Stack installer

Image2text ⭐ 24

A deep learning project to tell a story with an image or a video.

Dsr Benchmark ⭐ 22

A Survey and Benchmark for Automatic Surface Reconstruction from Point Clouds

Classification Ad ⭐ 22

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

Reinforcement Learning Replications ⭐ 22

Reinforcement Learning Replications is a set of Pytorch implementations of reinforcement learning algorithms.

Paper Synthesizing Benchmarks ⭐ 21

📝 "Synthesizing Benchmarks for Predictive Modeling" (🥇 CGO'17 Best Paper)

Champkit ⭐ 21

Benchmarking toolkit for patch-based histopathology image classification.

Smc Bench ⭐ 21

[ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, AJAY KUMAR JAISWAL, Zhangyang Wang

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Dl Benchmark ⭐ 21

Deep Learning Inference benchmark. Supports Intel® Distribution of OpenVINO™ Toolkit, Caffe, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch and Apache TVM

Dlio_benchmark ⭐ 20

This is repository for a I/O benchmark which represents Scientific Deep Learning Workloads.

Videocube Toolkit ⭐ 20

The official python toolkit for running experiments and evaluate performance on VideoCube benchmark @TPAMI2023

Deep learning model for recognizing puzzle patterns in The Witness.

Objtrack ⭐ 19

实现常用的目标跟踪算法

KAREN: Unifying Hatespeech Detection and Benchmarking

Lfattnet ⭐ 18

Attention-based View Selection Networks for Light-field Disparity Estimation

Continual Reinforcement Learning in 3D Non-stationary Environments

Tum Traffic Dataset Dev Kit ⭐ 17

TUM Traffic Dataset Development Kit

Nano Copy ⭐ 17

Tiny, super fast JavaScript deep copy

Benchmark Node Clone ⭐ 16

Node Clone Benchmarks

Aeropath ⭐ 16

🫁 AeroPath: An airway segmentation benchmark dataset with challenging pathology

🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109

Composite Adv ⭐ 15

[CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, and Tsung-Yi Ho.

An implementation of tensorflow-based TrajGRU model

Image Depth Prediction ⭐ 14

Awesome Semantic Segmentation ⭐ 14

awesome-semantic-segmentation - list of awesome things around semantic segmentation 🎉

Pykinship ⭐ 14

SW components and demos for visual kinship recognition. An emphasis is put on the FIW dataset-- data loaders, benchmarks, results in summary.

Coarsehash ⭐ 13

Benchmark datasets used in ICRA 2020 paper: Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded Representations

Mlx Benchmark ⭐ 13

Benchmark of Apple's MLX operations on all Apple Silicons (GPU, CPU) + MPS and CUDA.

Filipino Text Benchmarks ⭐ 13

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

Model Selection for Anomaly Detection in Time Series

Face Detection Data Set and Benchmark (FDDB) in Darknet

Sues 200 Benchmark ⭐ 12

SUES-200: A Multi-height Multi-scene Cross-view Image Benchmark Across Drone and Satellite

Deeprace ⭐ 11

benchmark suite to measure the turnaround of deep learning frameworks

Ddl Benchmarks ⭐ 10

ddl-benchmarks: Benchmarks for Distributed Deep Learning

Dataset and Evaluation Scripts for Obstacle Detection via Semantic Segmentation in a Marine Environment

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

Pytorch Ml ⭐ 10

📚🍊 Implement DNN or ML models and advanced policies with PyTorch.(Include experiment)

Dl_text_classification ⭐ 10

Collection of Deep Learning Text Classification Models in Keras; Includes a GPU tutorial.

Nebula: Lightweight Neural Network Benchmarks

Spacefortress ⭐ 9

OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206

From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks

Data Science ⭐ 9

My road to becoming a deep learning master!

Benchmarking Cv Models ⭐ 8

Benchmark deep CV models in under 3 minutes

Ar1 Pytorch ⭐ 8

AR1* with Latent Replay, implemented in PyTorch

Openvino_auto_benchmark ⭐ 8

Semi-automated OpenVINO benchmark_app with variable parameters. User can specify multiple options for any parameters in the benchmark_app and the progam runs the benchmark with all combinations of given options.

Ssl Risk Decomposition ⭐ 8

Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".

V4r Evaluation ⭐ 7

Popular pedestrain detection datasets

Tvm Learning ⭐ 7

TVM learning and research

Automl Benchmark ⭐ 6

Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application

Deep Copy ⭐ 6

faster deep copy for json data

Oktoberfestfooddataset ⭐ 6

Publication of our Oktoberfest Food Dataset for Object Detection methods

A minimal engine and a large benchmark for deep learning algorithms. Built upon PyTorch.

Gtdlbench ⭐ 5

Benchmarking Deep Learning Frameworks

Deeppolyp ⭐ 5

Work on deep learning for polyp characterization

Composite Adv ⭐ 5

[CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, and Tsung-Yi Ho.

Dl Operator Benchmark ⭐ 5

Framework for benchmarking deep learning operators for Apache MXNet

Miniworld Ofbits ⭐ 5

Training our first agent for Mini World of Bits for Universe OpenAI

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