524 Open source projects that are alternatives of or similar to codeflare

A general-purpose pythonic genetic algorithm.

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

A shell-friendly hyperparameter search tool inspired by Optuna

基于Tensorflow2开发的优秀扩展包及项目

🚀 A demonstration of hyperparameter optimization using Optuna for models implemented with AllenNLP.

Emotiw2017 code

Serverless Inferencing on Kubernetes

demonstrating use of convolution neural networks to detect objects in a video

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

⬡ Shyft is a server-side framework for building powerful GraphQL APIs 🚀

Open resource exchange platform for non-human primate neuroimaging

Buggregator is a beautiful, lightweight debug server build on Laravel that helps you catch your smpt, sentry, var-dump, monolog, ray outputs. It runs without installation on multiple platforms.

به فارسی، برای مشارکت scikit-learn

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

Examples for https://github.com/optuna/optuna

Bioinformatics curated workflows that use Biocontainers tools

🦅Hyperparameter optimization for machine learning pipelines 🦅

Python package for Customizable Data Preprocessing Pipelines

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

Images used internally for running continuous integration/delivery tasks

🏵 Gee is tool of stdin to each files and stdout. It is similar to the tee command, but there are more functions for convenience. In addition, it was written as go

Building extensible automation. Tideflow is a Realtime, open source workflows execution and monitorization web application.

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.

A library to parse and convert PMML models into Scikit-learn estimators.

A task for Azure DevOps Pipelines to run newman tests.

Your local Flux surgeon

📜 📒 Place for organization guidelines and workflows

A Python framework for data processing on GCP.

Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models

Basis expansion transformers in sklearn style.

Set model hyperparameters using deterministic, exact algorithms.

Black box hyperparameter optimization made easy.

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Universal 1d/2d data containers with Transformers functionality for data analysis.

Black-box optimization library

⤴️ Steep Workflow Management System – Run scientific workflows in the Cloud

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

Primrose modeling framework for simple production models

All-in-one Concourse VM with S3-compatible storage and Vault secret manager

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

Handles OAuth and stores slack token

💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻

Notebook of the Crash Course of Pandas 2018

A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

A parallel framework for population-based multi-agent reinforcement learning.

Github action to retrieve all (added, copied, modified, deleted, renamed, type changed, unmerged, unknown) files and directories.

Automated machine learning package

ADENINE: A Data ExploratioN PipelINE

A toolkit to run Ray applications on Kubernetes

Exemplary, annotated machine learning pipeline for any tabular data problem.

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

The 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. 🤠

Connect to GitHub Actions VM via SSH for interactive debugging

PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).

Real-time Web Dashboard for Optuna.