Stars
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
This repository contains demos I made with the Transformers library by HuggingFace.
A scikit-learn compatible neural network library that wraps PyTorch
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Genome modeling and design across all domains of life
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Making Protein folding accessible to all!
Biological foundation modeling from molecular to genome scale
Some ipython notebooks implementing AI algorithms
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Official implementation of Diffusion Autoencoders
Jupyter widget to interactively view molecular structures and trajectories
Simple implementation of OpenAI CLIP model in PyTorch.
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Bilingual Language Model for Protein Sequence and Structure
Huggingface compatible implementation of RetNet (Retentive Networks, https://arxiv.org/pdf/2307.08621.pdf) including parallel, recurrent, and chunkwise forward.
A repo to explore different NLP tasks which can be solved using T5
Comprehensive benchmarking of protein-ligand structure prediction methods. (ICML 2024 AI4Science)
The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.
Making Protein Language Modeling Accessible to All Biologists