383 Open source projects that are alternatives of or similar to AutoSF

Piggydb is a Web notebook application that provides you with a platform to build your knowledge personally or collaboratively.

Awesome Resources for Advanced Computer Vision Topics

A paper list of research about social knowledge graph

Distributed High-Performance symbolic regression in Julia

EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Learning node representation using edge semantics

Automated deep learning algorithms implemented in PyTorch.

a knowledge graph project for ONEPIECE /《海贼王》知识图谱

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

Datasets for Knowledge Graph Completion with textual information about the entities

AutoML library for deep learning

A simplified version of featuretools for Spark

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

PyTorch implementation for Graph Gated Neural Network (for Knowledge Graphs)

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Grakn Workbase (Knowledge IDE)

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

中国明星数据爬取。你甚至可以拿到互联网上所有的人之间的关系，接下来你可以自己发挥！基于这些数据，你可以完成更多有趣的事情。比如说社交网络分析，关系网络可视化，算法研究，和其他有意思的事情。Chinese star data crawling. You can even get all the people on the internet! Based on these data, you can do more interesting things. For example, social network analysis, relational network visualization, algorithm research, and other interesting things.

An open source python library for automated feature engineering

SimplE Embedding for Link Prediction in Knowledge Graphs

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

Node.js application to extract the knowledge represented in Google infoboxes (aka Google Knowlege Graph Panel)

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

Sequential Model-based Algorithm Configuration

Extracts a latent knowledge graph from text and index/query it in elasticsearch or solr

NAS-Bench-201 API and Instruction

经济责任审计知识图谱：网络爬虫、关系抽取、领域词汇判定

Efficient Learning of Augmentation Policy Schedules

An automatic machine learning system

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

Google Brain AutoML

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

Zettel Network Visualizer

Fast and flexible AutoML with learning guarantees.

Sberbank Data Science Jorney Auto-ML competition

ZazuML - easy AutoML for Object Detection

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch

TypeDB-ML is the Machine Learning integrations library for TypeDB

利用网络上公开的数据构建一个小型的证券知识图谱/知识库

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Graph Data Visualization Demo| 图数据搜索可视化应用案例

AutoVideo: An Automated Video Action Recognition System

Minimum-distortion embedding with PyTorch

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.

GAKG is a multimodal Geoscience Academic Knowledge Graph (GAKG) framework by fusing papers' illustrations, text, and bibliometric data.

Reasoning Over Knowledge Graph Paths for Recommendation

Combining relational context and relational paths for knowledge graph completion