Pinned Repositories
EVEscape
Official repository for the paper "Learning from pre-pandemic data to forecast viral antibody escape"
ProteinGym
Official repository for the ProteinGym benchmarks
ProteinNPT
Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"
Tranception
Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"
EVE
Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.
alphamissense
awesome-deep-learning-papers
The most cited deep learning papers
ProteinGym
Official repository for the ProteinGym benchmarks
RITA
RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.
uncertainty_guided_optimization
Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal)
pascalnotin's Repositories
pascalnotin/uncertainty_guided_optimization
Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal)
pascalnotin/ProteinGym
Official repository for the ProteinGym benchmarks
pascalnotin/RITA
RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.
pascalnotin/alphamissense
pascalnotin/articles_repro
#Reproducing results from scientific articles
pascalnotin/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
pascalnotin/course-v3
The 3rd edition of course.fast.ai
pascalnotin/Coursera-Intro-to-DL
Resources for "Introduction to Deep Learning" course.
pascalnotin/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
pascalnotin/efficientnet-pytorch
A PyTorch Implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
pascalnotin/EVE
Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.
pascalnotin/EVEscape
Official repository for the paper "Learning from pre-pandemic data to forecast viral antibody escape"
pascalnotin/glide-text2im
GLIDE: a diffusion-based text-conditional image synthesis model
pascalnotin/graph_nets
Build Graph Nets in Tensorflow
pascalnotin/lectures
repository with the lectures for MLSS Skoltech
pascalnotin/license
OONI License
pascalnotin/MLSS2019_tutorials-1
pascalnotin/molecule-chef
Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221)
pascalnotin/MP-v-diffusion-images512x512
v objective diffusion inference code for PyTorch.
pascalnotin/neurips-2019-papers-by-category
mo papers mo problems
pascalnotin/ProteinNPT
Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"
pascalnotin/pytorch-caffe-models
The original weights of some Caffe models, ported to PyTorch.
pascalnotin/pytudes
Python programs to practice or demonstrate skills.
pascalnotin/rdkit
The official sources for the RDKit library
pascalnotin/se3-transformer-pytorch
Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
pascalnotin/SPECTRA
Spectral Framework For AI Model Evaluation
pascalnotin/tape
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
pascalnotin/Tranception
Official repository for Tranception
pascalnotin/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
pascalnotin/x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers