Here you'll find repositories of projects developed in our group. Please visit our website for a list of members and publications. Check out models.batistalab.com to play with our ML models (no installation needed!)
Batista Group
Yale University
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- qflux Public
batistagroup/qflux’s past year of commit activity - tutorials Public
batistagroup/tutorials’s past year of commit activity - calcflow Public
batistagroup/calcflow’s past year of commit activity - transformers Public Forked from huggingface/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
batistagroup/transformers’s past year of commit activity - FragmentRetro Public Forked from randyshee/FragmentRetro
FragmentRetro: A Quadratic Retrosynthetic Method Based on Fragmentation Algorithms
batistagroup/FragmentRetro’s past year of commit activity - python-template Public template
batistagroup/python-template’s past year of commit activity - Quantum-to-Classical-Transfer-Learning Public Forked from anthonysmaldone/Quantum-to-Classical-Transfer-Learning
Source code for Quantum to Classical Neural Network Transfer Learning for Predicting Drug Toxicity
batistagroup/Quantum-to-Classical-Transfer-Learning’s past year of commit activity - T-ALPHA Public Forked from gregory-kyro/T-ALPHA
T-ALPHA: a hierarchical transformer-based deep neural network for protein-ligand binding affinity prediction with uncertainty-aware self-learning for protein-specific alignment
batistagroup/T-ALPHA’s past year of commit activity - Quantum-Transformer Public Forked from anthonysmaldone/Quantum-Transformer
This is a repository containing code for a hybrid quantum-classical transformer model from the paper: A Hybrid Transformer Architecture with a Quantized Self-Attention Mechanism Applied to Molecular Generation.
batistagroup/Quantum-Transformer’s past year of commit activity
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