arthurjan1994 Goto Github PK

adversarial-ml-projects

Starting some projects to learn more about adversarial attack and defense

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

annotation-service

arthurjan1994.github.io

:sparkles: Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

haystack

:mag: Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...

jina

An easier way to build neural search in the cloud

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

pawls

Software that makes labeling PDFs easy.

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

pytorch-work

Compiles experiments, courses taken, workshops ...

simple-blackbox-attack

Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"

small-text

Active Learning for Text Classification in Python

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

streamlit-learn

Learning to use streamlit