andreajparker Goto Github PK
Name: Andrea Parker
Type: User
Bio: Natural language processing, Information retrieval
Location: California
Name: Andrea Parker
Type: User
Bio: Natural language processing, Information retrieval
Location: California
Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face 🤗 Transformers.
Mixer provides the translator engine and API interface to access Data Commons graph
msieve - Number Field Sieve implementation by Jason Papadopoulos
NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)
Visualizer for neural network, deep learning, and machine learning models
A collection of tools for neural compression enthusiasts.
Introspected tunnels to localhost
Compendium of the resources available from top NLP conferences.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
✍️ A carefully curated list of NLP paper summaries
Data augmentation for NLP
NUANCED is a user-centric conversational recommendation dataset that contains 5.1k annotated dialogues and 26k high-quality user turns.
Machine learning, in numpy
Python 3 Bindings for the NVIDIA Management Library
Training PyTorch models with differential privacy
Curated lists of credible and non-credible online sources, available for public use
SQL powered operating system instrumentation, monitoring, and analytics.
Repository for suggesting new lineages that should be added to the current scheme
papers
🔒 A curated checklist of 300+ tips for protecting digital security and privacy in 2021
Toolkit for collecting and applying prompts
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Generate Scriptable app widget to query PurpleAir sensor and display local AQI.
A Python nearest neighbor descent for approximate nearest neighbors
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
Surrogate Optimization Toolbox for Python
(Linear-chain) Conditional random field in PyTorch.
A Pytorch Computer Vision template to quick start your next project! 🚀🚀
A Collection of Variational Autoencoders (VAE) in PyTorch.
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.