Stars
A Foundation for Scalable Cross-Platform Apps
Language model alignment-focused deep learning curriculum
[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...
Download an entire website from the Wayback Machine.
What financial info would I have wanted to know when I was 22 and jumping into tech?
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
💯 Teach puppeteer new tricks through plugins.
Deploy headless browsers in Docker. Run on our cloud or bring your own. Free for non-commercial uses.
Monaco Editor for React - use the monaco-editor in any React application without needing to use webpack (or rollup/parcel/etc) configuration files / plugins
Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
An RFB proxy, written in go that can save and replay FBS files
A tool for extracting plain text from Wikipedia dumps
Authors' implementation of EMNLP-IJCNLP 2019 paper "Answering Complex Open-domain Questions Through Iterative Query Generation"
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
PyTorch implementation of neural style transfer algorithm
Models from Tensorflow and Keras converted to PyTorch
PyTorch implementation of DeepDream algorithm
Simple and easily configurable grid world environments for reinforcement learning
Google Drive Public File Downloader when Curl/Wget Fails
Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Style Transfer as Optimal Transport
PyTorch code to run synthetic experiments.
Memory consumption and FLOP count estimates for convnets
Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"
Live: https://style-transfer.netlify.com. Arbitrary Style Transfer based on Reiichiro Nakano