Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A game theoretic approach to explain the output of any machine learning model.

Your new Mentor for Data Science E-Learning.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

AI Observability & Evaluation

Book about interpretable machine learning

Tutorials for creating and using ONNX models

A library for debugging/inspecting machine learning classifiers and explaining their predictions

InferSent sentence embeddings

🪼 a python library for doing approximate and phonetic matching of strings.

Dual LSTM Encoder for Dialog Response Generation

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

A collection of notebooks for Natural Language Processing from NLP Town

Implementing Siamese networks with a contrastive loss for similarity learning

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

Urban sound classification using Deep Learning

Practical Examples for RNNs in Tensorflow

SpanMarker for Named Entity Recognition

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @…

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

CNN image style transfer 🎨.

Repository for PyCon 2016 workshop Natural Language Processing in 10 Lines of Code

Scikit-Learn tutorials

Evidence-based QA system for community question answering.

Bias detection in the news. Back and front end for areyoufakenews.com

Dataset of The Onion articles and real "Onion-like" news articles from the subreddit r/NotTheOnion, along with a jupyter notebook extracting the dataset and performing classification.

TensorFlow implementation of "Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder," AAAI-19

Code for "An Online Algorithm to Reduce the Spread of Misinformation in Social Networks", WSDM 2018