Code for our paper "Modelobfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems" that has been published by ISSTA'23

Repository for sample controller. Complements sample-apiserver

Bootstrap Kubernetes the hard way on Vagrant on Local Machine. No scripts.

source provider for parquet-go

cuDF - GPU DataFrame Library

k-Nearest Neighbors algorithm on Spark

A system for quickly generating training data with weak supervision

The Google Cloud Developer's Cheat Sheet

JWT support for Scala. Bonus extensions for Play, Play JSON, Json4s, Circe, uPickle, Spray and Argonaut

The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020

BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray

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.

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discr…

Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL

Self-supervised NER prototype - updated version (69 entity types - 17 broad entity groups). Uses pretrained BERT models with no fine tuning. State-of-art performance on 3 biomedical datasets

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

State-of-the-Art Text Embeddings

A library for efficient similarity search and clustering of dense vectors.

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

notes about machine learning

State of the Art Natural Language Processing

This is a CoNLL formatted version of the OntoNotes 5.0 release.

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

Models and Pipelines for the Spark NLP library

In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras

Open source annotation tool for machine learning practitioners.