Bayesian optimization in PyTorch
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Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Python implementation of CMA-ES
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.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
- jupyter-notebook
- pandas
- federal-reserve
- gdp
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
- medical-imaging
- medical-ai
- deep-learning
- machine-learning
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
WebGL accelerated JavaScript molecular graphics library
- molecular-graphics
- molecular-modeling
- computational-biology
- computational-chemistry
Foundation Models for Genomics & Transcriptomics
Precision Medicine Knowledge Graph (PrimeKG)
- knowledge-graph
- precision-medicine
- therapeutics
- bioinformatics
Pathology Foundation Model - Nature Medicine
- foundation
- foundation-model
- histopathology
- mahmoodlab
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
- huggingface
- bert
- chemical-modelling
- chemical-smiles-data
Reference mapping for single-cell genomics
- single-cell
- deep-learning
- rna-seq-analysis
- data-integration
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
- dna
- language-model
- variant-effect-prediction
- genomics
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Wrapper for RDKit's RunReactants to improve stereochemistry handling
scPerturb: A resource and a python/R tool for single-cell perturbation data
- cite-seq
- database
- perturbation
- scatac-seq
The repository host gives no description.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
- source-energy-balance
- canopy
- soil
- radiometric-temperatures
🏃 The go-to single-cell Foundation Model
- batch-correction
- cell-biology
- celltype-annotation
- denoising
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
- disentanglement
- drug-discovery
- genomics
- perturbation
Optimising chemical reactions using machine learning
- chemistry
- machine-learning
- optimization
- bayesian-optimization
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
- protein
- protein-sequences
- protein-design
- representation-learning