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120 search results found

Fashion Mnist ⭐ 9,856

A MNIST-like fashion product database. Benchmark 👇

10x faster matrix and vector operations

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.).

Deepmoji ⭐ 1,462

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

Multi-class confusion matrix library in Python

Medmnist ⭐ 903

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

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

SMAC: The StarCraft Multi-Agent Challenge

Oceananigans.jl ⭐ 853

🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

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.

Vectorious ⭐ 781

Linear algebra in TypeScript.

Human Learn ⭐ 759

Natural Intelligence is still a pretty good idea.

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Meta Dataset ⭐ 679

A dataset of datasets for learning to learn from few examples

Mimic3 Benchmarks ⭐ 661

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

Adbench ⭐ 609

Official Implement of "ADBench: Anomaly Detection Benchmark".

Overcooked_ai ⭐ 593

A benchmark environment for fully cooperative human-AI performance.

Mother of All BCI 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

Datasets ⭐ 521

A repository of pretty cool datasets that I collected for network science and machine learning research.

Awesome Federated Learning ⭐ 482

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

Codalab Competitions ⭐ 480

CodaLab Competitions

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.

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Powerful Benchmarker ⭐ 426

A library for ML benchmarking. It's powerful.

Automlbenchmark ⭐ 350

OpenML AutoML Benchmarking Framework

Fedscale ⭐ 347

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

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

Awesome State Of Depth Completion ⭐ 282

Current state of supervised and unsupervised depth completion methods

Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving

Dialoglue ⭐ 256

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

Gym Electric Motor ⭐ 250

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

Recsys Dataset ⭐ 244

🛍 A real-world e-commerce dataset for session-based recommender systems research.

A universal flight control tuning framework

Awesome_satellite_benchmark_datasets ⭐ 231

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

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Benchopt ⭐ 193

Making your benchmark of optimization algorithms simple and open

Sklearn Benchmarks ⭐ 190

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

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.

Gbm Perf ⭐ 180

Performance of various open source GBM implementations

Ultimatemrz Sdk ⭐ 149

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

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

Miplearn ⭐ 117

Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML)

Nabladft ⭐ 117

nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset

Benchmarl ⭐ 115

A collection of MARL benchmarks based on TorchRL

Scikit Learn_bench ⭐ 99

scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.

Go Featureprocessing ⭐ 98

🔥 Fast, simple sklearn-like feature processing for Go

Optimising chemical reactions using machine learning

[RA-L2022] V2X-Sim Dataset and Benchmark

Automatminer ⭐ 89

An automatic engine for predicting materials properties.

Matbench ⭐ 88

Matbench: Benchmarks for materials science property prediction

Orbit Dataset ⭐ 82

The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

Awesome Mojo ⭐ 80

Awesome Mojo🔥

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).

Benchmarks ⭐ 78

Machine Learning Benchmark Scripts

Perfect_match ⭐ 75

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

[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.

Model Inversion Attack Toolbox ⭐ 57

A comprehensive benchmark for model inversion attacks and defenses, which is easy to get started.

Benchpress ⭐ 52

A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.

Fast_retraining ⭐ 50

Show how to perform fast retraining with LightGBM in different business cases

Benchmarkstt ⭐ 48

Open Source AI Benchmarking toolkit for benchmarking speech to text services

Mlbench Old ⭐ 45

!!!!!DEPRECATED!!!! distributed machine learning benchmark - a public benchmark of distributed ML solvers and frameworks

Masakhane Community ⭐ 40

All our community docs! Start here! Lets put Africa on the NLP Map

Flbenchmark Toolkit ⭐ 39

Federated Learning Framework Benchmark (UniFed)

Spatiotemporal_datasets ⭐ 39

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

🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform for graph learning benchmarks. Dataloading, Benchmarking, Tagging, and more!

Whyshift ⭐ 35

A python package providing a benchmark with various specified distribution shift patterns.

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

Ar Touch ⭐ 33

🔮 Obtain the power of touchless interaction with display screens

Vanishing_points_2017 ⭐ 33

Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection

Mofdscribe ⭐ 32

An ecosystem for digital reticular chemistry

💉📈 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.

MEDFAIR: Benchmarking Fairness for Medical Imaging

Compboost ⭐ 27

C++ implementation and R API for componentwise boosting

Mac Ml Speed Test ⭐ 27

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

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

A Benchmark for Seismic Velocity Inversion from Synthetics

Mlcube_examples ⭐ 26

MLCube® examples

2020a_ssh_mapping_natl60 ⭐ 25

A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.

Weather4cast ⭐ 25

Code accompanying our IARAI Weather4cast Challenge

Go Ml Benchmarks ⭐ 24

⏱ Benchmarks of machine learning inference for Go

Image2text ⭐ 24

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

Asreview Insights ⭐ 23

Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB

Classification Ad ⭐ 22

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

MLPerf™ Storage Benchmark Suite

Sml Bench ⭐ 21

A Benchmark for Machine Learning from Structured Data

Paper Synthesizing Benchmarks ⭐ 21

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

Mlbench Benchmarks ⭐ 19

Distributed ML Training Benchmarks

Ai4math Papers ⭐ 19

AI for Mathematics (AI4Math) paper list

Continual Reinforcement Learning in 3D Non-stationary Environments

[NeurIPS DBT 2021] HPO-B

Tum Traffic Dataset Dev Kit ⭐ 17

TUM Traffic Dataset Development Kit

Deeplearningbenchmarks ⭐ 16

Benchmarks across Deep Learning Frameworks in Julia and Python

Text Classification Benchmark ⭐ 16

文本分类基准测试

Babyberta ⭐ 15

Source code for CoNLL 2021 paper by Huebner et al. 2021

🧪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

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