2017 Open source projects that are alternatives of or similar to Kglib

TypeDB-ML is the Machine Learning integrations library for TypeDB

Data augmentation for NLP

CNN image classifier implemented in Keras Notebook 🖼️.

Enhance your WordPress content with Artificial Intelligence and Machine Learning services.

Sharing Updatable Models (SUM) on Blockchain

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

An experimental personal knowledge base with a focus on connections

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

The MacGraph network. An attempt to get MACnets running on graph knowledge

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Command Line Artificial Intelligence or CLAI is an open-sourced project from IBM Research aimed to bring the power of AI to the command line interface.

Multi-class confusion matrix library in Python

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

AI research environment for the Atari 2600 games 🤖.

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

Caffe2 is a lightweight, modular, and scalable deep learning framework.

XAI - An eXplainability toolbox for machine learning

Experiment tracking for machine and deep learning projects

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

A full-featured editor for working with Utility-based AI

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

An open source cybersecurity protocol for syncing decentralized graph data.

List of resources & possible pathway for the Math of Machine Learning and AI.

Command line tool for FloydHub - the fastest way to build, train, and deploy deep learning models

A RiveScript interpreter for Python. RiveScript is a scripting language for chatterbots.

A Compositional Object-Based Approach to Learning Physical Dynamics

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Resource scheduling and cluster management for AI

First version of go-MATRIX, especially for TPS optimization and AI

Lazy, AI chatbot service.

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

Predictive AI layer for existing databases.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

A fast Evolution Strategy implementation in Python

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Gender recognition by voice and speech analysis

⚾🤖⚾ Automatic baseball pitching overlay in realtime

an Ontology SDK

Graph databases, Knowledge Graphs, SPARQ

《深度学习》花书手推笔记

A curated list of Knowledge Graph related learning materials, databases, tools and other resources

Fit interpretable models. Explain blackbox machine learning.

LDA topic modeling for node.js

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

Your 🔵 Superintelligence

😎 A curated list of awesome MLOps tools

AI Automated Planning with STRIPS and PDDL in Node.js

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

OpenNARS for Research 3.0+

💁‍♀️Your new best friend powered by an artificial neural network

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

A privacy-first, open-source platform for knowledge management and collaboration. Desktop app download link: https://github.com/logseq/logseq/releases, roadmap: https://trello.com/b/8txSM12G/roadmap