A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

A high performance implementation of HDBSCAN clustering.

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

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Early stopping for PyTorch

Use evolutionary algorithms instead of gridsearch in scikit-learn

String-to-String Algorithms for Natural Language Processing

Numba tutorial for GTC 2017 conference

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

A Python scraper for Goodreads books and reviews.

Auxiliary Classifier Generative Adversarial Networks in Keras

TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)

Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.

Implementation of UFCNN in Keras

Mixture Density Networks (Bishop, 1994) tutorial in JAX

Python scripts for various stuff: Viterbi algorithm, word2vec, etc...

Koe: open-source software to visualise, segment and classify acoustic units in animal vocalisations

Traffic Analysis in Original Video Data of Ayalon Road

Google Colab Notebooks for Transcription with Whisper

Steganographic text via language models

A tool that allows users to choose a Ministry of the Interior Office to make a booking without a long waiting time

Computing V1 population likelihood