Andrea Roncoli's starred repositories
context-guided-diffusion
Code for the paper Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
useful_rdkit_utils
Some useful RDKit functions
confidence-bootstrapping
Implementation of the Confidence Bootstrapping procedure for protein-ligand docking.
disco-diffdock
Code for the paper DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents, ICML 2024
Awesome-Graph-Research-ICML2024
All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
AkomaNtosoBulkData
Bulk data dei documenti legislativi in formato Akoma Ntoso
awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
egnn-pytorch
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
gvp-pytorch
Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure
python-whatsapp-bot
Build AI WhatsApp Bots with Pure Python
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
diffusion_models
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
clifford-group-equivariant-neural-networks
Code used by the "Clifford Group Equivariant Neural Networks" paper.