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A topic-centric list of HQ open datasets.
BioBERT: a pre-trained biomedical language representation model
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Python script to download public Tweets from a given Twitter account into a format suitable for AI text generation.
I am creating a multilevel model to forecast HIV infection rates in US counties using public data.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Dataset of GPT-2 outputs for research in detection, biases, and more
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
GPT-3: Language Models are Few-Shot Learners
a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models
✍🏻gpt2-client: Easy-to-use TensorFlow Wrapper for GPT-2 117M, 345M, 774M, and 1.5B Transformer Models 🤖📝
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Recommend jewelry based on image similarity (CNN autoencoder + KNN)
A set of Jupyter notebooks demonstrating collaborative filtering using matrix factorization with Keras.
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
4 different recommendation engines for the MovieLens dataset.
Python library for interactive topic model visualization. Port of the R LDAvis package.
The "Python Machine Learning (3rd edition)" book code repository
README.md template for your open-source project
Scrapy, a fast high-level web crawling & scraping framework for Python.
List of my most used commands and shortcuts in the terminal for Mac
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
A (relatively) minimal configuration app to run Twitter bots on a schedule that can scale to unlimited bots.
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.