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This is the implementation of the Parallel Simulated Annealing with Constraints (PARSAC) algorithm
Code for peptide ligand design with machine learning models.
Awesome papers related to generative molecular modeling and design.
Multi Objective Simulated Annealing algorithm sample
The gzip classification method implemented for molecule classification.
SMT-based-STDCELL-Layout-Generator
List of papers about Proteins Design using Deep Learning
Minimal RNN classifier with self-attention in Pytorch
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.
Collecting AMP MIC data from different sources, then running a GAN to output promising sequences
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
An ongoing MSc research project comparing deep learning models on their capabilities and interpretabilities in generating novel AMPs
A tutorial for the famous non dominated sorting genetic algorithm II, multiobjective evolutionary algorithm.
Python module for Simulated Annealing optimization
Peptide optimization with Machine Learning
Example implementations of common machine learning projects in chemistry.
A very fast visualization library for large, high-dimensional data sets.
Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.
🔬 Path to a free self-taught education in Bioinformatics!