Flow-matching algorithms in JAX

Implementation of the Kdeep Paper

A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.

Hierarchical graph variational autoencoders for molecular representation learning

Facilitates searching, screening, and organizing large chemical databases

[NeurIPS 2021] UOTA: Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration.

Code for generating figures in "Protein structure-based gene expression signatures"

Code to identify enriched protein structures from gene sets

Implementation of the Paper "Learning Continuous and Data-Driven Molecular Descriptors by Translating Equivalent Chemical Representations" by Robin Winter, Floriane Montanari, Frank Noe and Djork-A…

Implementation of the method proposed in the paper "Efficient Multi-Objective Molecular Optimization in a Continuous Latent Space" by Robin Winter, Floriane Montanari, Andreas Steffen, Hans Briem, …

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

Master's dissertation for breast cancer detection in mammograms using deep learning techniques in Tensorflow. Contains the final report and source code.

Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.

3d engine implementation in DNA code!

Deep Learning Experiment Management

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Essential about fastText architecture, cleaning, upsampling and sentiments for tweets.

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim

in progress

Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis

Implementation of the paper "Automatic Program Synthesis of Long Programs with a Learned Garbage Collector"

Make social simulations on real maps! Agent-based modeling for the web.