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Name: Bernhard J. Conzelmann
Type: User
Bio: .hard
Location: Germany
Name: Bernhard J. Conzelmann
Type: User
Bio: .hard
Location: Germany
An OWL ontology documentation tool using Python and templating, based on LODE
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Concurrent data pipelines in Python >>>
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
Python bindings for the Stardog Knowledge Graph platform
Python implementation of TextRank for phrase extraction and summarization of text documents
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
Graph Neural Network Library for PyTorch
RDF-star specification
A collection of tools and Java libraries to process RDF* data and SPARQL* queries.
Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
Tool for tracking and evolving data for AI projects
TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
A system for quickly generating training data with weak supervision
TensorFlow-based neural network library
Visualization of how room requirements can be modeled with BOT and OPM
Streisand sets up a new server running your choice of WireGuard, OpenConnect, OpenSSH, OpenVPN, Shadowsocks, sslh, Stunnel, or a Tor bridge. It also generates custom instructions for all of these services. At the end of the run you are given an HTML file with instructions that can be shared with friends, family members, and fellow activists.
This is the repository for the distill web framework
Interpretability Methods for tf.keras models with Tensorflow 2.0
Google's Causal Impact Algorithm Implemented on Top of TensorFlow Probability
Code repository for Think Bayes.
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
A Pytree Module system for Deep Learning in JAX
Treex NLP framework
Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))
Bayesian inference with probabilistic programming.
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.