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Sentence Embeddings with BERT & XLNet
A system for quickly generating training data with weak supervision
TensorFlow-based neural network library
PyTorch code for SpERT: Span-based Entity and Relation Transformer
An educational resource to help anyone learn deep reinforcement learning.
Download a book from www.sslibrary.com and create PDF
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
STUMPY is a powerful and scalable Python library for modern time series analysis
A Python scikit for building and analyzing recommender systems
SymSpell: 1 million times faster through Symmetric Delete spelling correction algorithm
A small library for creating tabbed toolbars
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Simple and ready-to-use tutorials for TensorFlow
Tensorflow implementation of DeepFM for CTR prediction.
TensorFlow Tutorial and Examples for beginners
"Deep Learning with TensorFlow" LiveLessons
Implementations of CNNs, RNNs, GANs, etc
A best practice for tensorflow project template architecture.
TensorFlow Tutorials with YouTube Videos
TensorFlow template application for deep learning
TensorForce: A TensorFlow library for applied reinforcement learning
A Neural Net Training Interface on TensorFlow
Toolkit for Text Generation and Beyond
all kinds of text classificaiton models and more with deep learning
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
A set of utilities for writing and testing TensorFlow models
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside
Extensible low-code framework for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. 🚀
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.