wkrl

logparser

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

megaman

megaman: Manifold Learning for Millions of Points

nltk

NLTK Source

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

sweb_backend

Stark-Wie-Ein-Baum

loghub

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

vim-terraform

basic vim/terraform integration

BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

act

Run your GitHub Actions locally 🚀

strictly_typed_pandas

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

hugo-theme-minima

A clean and minimal Hugo theme.

pandera

A light-weight, flexible, and expressive statistical data testing library

dask

Parallel computing with task scheduling

interpretable-ml-book

Book about interpretable machine learning

Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

mae_st

Official Open Source code for "Masked Autoencoders As Spatiotemporal Learners"

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

donut

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

posthog

🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.

modin

Modin: Scale your Pandas workflows by changing a single line of code

kubernetes-the-hard-way

Bootstrap Kubernetes the hard way. No scripts.

docformer

Implementation of DocFormer: End-to-End Transformer for Document Understanding, a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU)

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

cord

CORD: A Consolidated Receipt Dataset for Post-OCR Parsing

setup-miniconda

Set up your GitHub Actions workflow with conda via miniconda

language

Shared repository for open-sourced projects from the Google AI Language team.

former

Simple transformer implementation from scratch in pytorch.

document-scanner

An OpenCV based document scanner