mozilla-sprint-2018DEPRECATED & Materials Moved: This sprint was to focus on brainstorming for the Joint Roadmap for Open Science Tools.
Stars: ✭ 24 (-85.28%)
SwiftCurrentA library for managing complex workflows in Swift
Stars: ✭ 286 (+75.46%)
Diabetic-Retinopathy-DetectionDIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,
Stars: ✭ 31 (-80.98%)
bigflowA Python framework for data processing on GCP.
Stars: ✭ 96 (-41.1%)
KivyMLAppThe repository host the API for the ML model via FastAPI, Flask and contains android app development files using KivyMD.
Stars: ✭ 54 (-66.87%)
RobynRobyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define m…
Stars: ✭ 433 (+165.64%)
bbaiSet model hyperparameters using deterministic, exact algorithms.
Stars: ✭ 19 (-88.34%)
Hyperopt.jlHyperparameter optimization in Julia.
Stars: ✭ 144 (-11.66%)
DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Stars: ✭ 161 (-1.23%)
HorovodDistributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Stars: ✭ 11,943 (+7226.99%)
bboptBlack box hyperparameter optimization made easy.
Stars: ✭ 66 (-59.51%)
Multi-CommanderMulti & Single Agent Reinforcement Learning for Traffic Signal Control Problem
Stars: ✭ 67 (-58.9%)
Fenchel Young LossesProbabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
Stars: ✭ 152 (-6.75%)
steep⤴️ Steep Workflow Management System – Run scientific workflows in the Cloud
Stars: ✭ 30 (-81.6%)
CwltoolCommon Workflow Language reference implementation
Stars: ✭ 235 (+44.17%)
Data Analysis主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
Stars: ✭ 142 (-12.88%)
PopperContainer-native task automation engine.
Stars: ✭ 216 (+32.52%)
keras-hypetuneA friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
Stars: ✭ 47 (-71.17%)
RealtimeListen to your to PostgreSQL database in realtime via websockets. Built with Elixir.
Stars: ✭ 4,278 (+2524.54%)
Qlik Py ToolsData Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Stars: ✭ 135 (-17.18%)
DasyncEvery developer deserves the right of creating microservices without using any framework 🤍
Stars: ✭ 154 (-5.52%)
concourse-ci-formulaAll-in-one Concourse VM with S3-compatible storage and Vault secret manager
Stars: ✭ 26 (-84.05%)
MagpieMagpie contains a number of scripts for running Big Data software in HPC environments, including Hadoop and Spark. There is support for Lustre, Slurm, Moab, Torque. LSF, and more.
Stars: ✭ 146 (-10.43%)
Role2vecA scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Stars: ✭ 134 (-17.79%)
autogbt-altAn experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Stars: ✭ 76 (-53.37%)
WooeyA Django app that creates automatic web UIs for Python scripts.
Stars: ✭ 1,680 (+930.67%)
Node Webcrypto OsslA WebCrypto Polyfill for Node in TypeScript built on OpenSSL.
Stars: ✭ 113 (-30.67%)
Github Slug ActionGitHub Action to expose slug value of GitHub environment variables inside your GitHub workflow
Stars: ✭ 96 (-41.1%)
KetrewKeep Track of Experimental Workflows
Stars: ✭ 73 (-55.21%)
textlearnRA simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.
Stars: ✭ 16 (-90.18%)
MaestrowfA tool to easily orchestrate general computational workflows both locally and on supercomputers
Stars: ✭ 72 (-55.83%)
House Price Prediction房价预测完整项目:1.爬取链家网数据 2.处理后,用sklearn中几个逻辑回归机器学习模型和keras神经网络搭建模型预测房价 最终结果神经网络效果更好,R^2值0.75左右
Stars: ✭ 116 (-28.83%)
FlyteFlyte binds together the tools you use into easily defined, automated workflows
Stars: ✭ 67 (-58.9%)
changed-filesGithub action to retrieve all (added, copied, modified, deleted, renamed, type changed, unmerged, unknown) files and directories.
Stars: ✭ 733 (+349.69%)
CorewfWF runtime ported to work on .NET 5
Stars: ✭ 757 (+364.42%)
aikitAutomated machine learning package
Stars: ✭ 24 (-85.28%)
CadenceCadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
Stars: ✭ 5,522 (+3287.73%)
SkproSupervised domain-agnostic prediction framework for probabilistic modelling
Stars: ✭ 107 (-34.36%)
St2StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, security responses, troubleshooting, deployments, and more. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html. Questions? https://…
Stars: ✭ 4,600 (+2722.09%)
ENIGMAThe ENIGMA Toolbox is an open-source repository for accessing 100+ ENIGMA statistical maps, visualizing cortical and subcortical surface data, and relating neuroimaging findings to micro- and macroscale brain organization. 🤠
Stars: ✭ 66 (-59.51%)
Active-Explainable-ClassificationA set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification
Stars: ✭ 28 (-82.82%)
WebSocketPipeSystem.IO.Pipelines API adapter for System.Net.WebSockets
Stars: ✭ 17 (-89.57%)
tibannaTibanna helps you run your genomic pipelines on Amazon cloud (AWS). It is used by the 4DN DCIC (4D Nucleome Data Coordination and Integration Center) to process data. Tibanna supports CWL/WDL (w/ docker), Snakemake (w/ conda) and custom Docker/shell command.
Stars: ✭ 61 (-62.58%)
syne-tuneLarge scale and asynchronous Hyperparameter Optimization at your fingertip.
Stars: ✭ 105 (-35.58%)
miraimlMiraiML: asynchronous, autonomous and continuous Machine Learning in Python
Stars: ✭ 23 (-85.89%)
ray tutorialAn introductory tutorial about leveraging Ray core features for distributed patterns.
Stars: ✭ 67 (-58.9%)
pymfePython Meta-Feature Extractor package.
Stars: ✭ 89 (-45.4%)
sdsj-automlSberbank Data Science Jorney Auto-ML competition
Stars: ✭ 28 (-82.82%)
datahubDataHub - Synthetic data library
Stars: ✭ 66 (-59.51%)