Stars
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.
💬 OpenAI Assistants API chat UI 🛠️ It works easily by setting the ASSISTANT ID 📁 Supports file upload and file download 🏃 Supports Streaming API 🪟 Support to Azure OpenAI
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Supporting code for the paper "Discovery of a structural class of antibiotics with explainable deep learning"
Personal branch of chemprop used to predict the antibiotics Abaucin
Local homology search powered by ESM-2 language model, foldseek, hhsuite, and hmmer.
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
CLEAN: a contrastive learning model for high-quality functional prediction of proteins
Evolutionary couplings from protein and RNA sequence alignments
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Message Passing Neural Networks for Molecule Property Prediction
Making large AI models cheaper, faster and more accessible
Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering (https://doi.org/10.1016/j.cels.2023.12.003)
PyTorch Implementation of Physics-informed Neural Networks
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
code for the paper "Few-Shot Regression via Learning Sparsifying Basis Functions
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
A library for efficient similarity search and clustering of dense vectors.
Deep networks for protein functional inference
A generative latent variable model for biological sequence families.
Mutation effects predicted from sequence co-variation
MMseqs2: ultra fast and sensitive search and clustering suite