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Name: Jan Bours
Type: User
Bio: I care about Data Science in general. But I try to focus on some subfields of it (or I will explode ......... ).
Location: Netherlands
Name: Jan Bours
Type: User
Bio: I care about Data Science in general. But I try to focus on some subfields of it (or I will explode ......... ).
Location: Netherlands
Learning Gender-Neutral Word Embeddings
Authors' implementation of EMNLP-IJCNLP 2019 paper "Answering Complex Open-domain Questions Through Iterative Query Generation"
Turn (almost) any Python command line program into a full GUI application with one line
Google AI Research
Code for the paper "Language Models are Unsupervised Multitask Learners"
Dataset of GPT-2 outputs for research in detection, biases, and more
This is a reddit bot based on OpenAi's GPT-2 117M model
openai gpt-2 fine tuning colab
GPT-3: Language Models are Few-Shot Learners
An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.
An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.
📊 A simple command-line utility for querying and monitoring GPU status
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
Example use cases from the O'Reilly Graph Databases book
Scripts for generating graphs in various formats.
Theano implementation of GloVe for graphs
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Build Graph Nets in Tensorflow
Implementation of GraphGAN in tensorflow
Representation learning on large graphs using stochastic graph convolutions.
Generalized Random Forests
this repository accompanies my forthcoming book "Grokking Deep Learning"
GSDMM: Short text clustering
G Square Conditional Independence Test
(partial) replication of results from https://arxiv.org/abs/1912.07768
Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"
semi supervised guided topic model with custom guidedLDA
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.