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The official Python Project Template of Alexander Thamm GmbH
Code and notebooks to showcase experimental results from Azure Quantum hardware team
:book: For those who wanna learn Bash
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
An awesome README template to jumpstart your projects!
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
ACL'2021: Learning Dense Representations of Phrases at Scale
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A Local Adaptive Thresholding framework for image binarization written in C++, with JS and Python bindings. Implementing: Otsu, Bernsen, Niblack, Sauvola, Wolf, Gatos, NICK, Su, T.R. Singh, WAN, ISauvola, Bataineh, Chan and Shafait.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classification
Graph neural networks for molecular design.
Extracting Summary Knowledge Graphs from Long Documents
InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
Laia: A deep learning toolkit for HTR based on Torch
Integriert den MarkItUp-Editor (Markdown und Textile)
mlmachine accelerates machine learning experimentation
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Quaternion Graph Neural Networks (NeurIPS 2020 Workshop on DiffGeo4DL) (Pytorch and Tensorflow)
Tutorials and programming exercises for learning Q# and quantum computing
QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings (NeurIPS 2020 Workshop on DiffGeo4DL) (Pytorch)
A summary of must-read papers for Neural Question Generation (NQG)
Self-Supervised Speech Pre-training and Representation Learning Toolkit.
Statistical Machine Intelligence & Learning Engine
Tools developed for running end-to-end chemistry workflows on quantum computers and simulators.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.