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@NUS-Rover-Team National University Of Singapore
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This repository contains implementations and illustrative code to accompany DeepMind publications
MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration
List of Molecular and Material design using Generative AI and Deep Learning
A prettier rocm-smi output with color-coded GPU stats
AlphaFast: ultra-high-throughput AlphaFold3 inference with MMSeqs2-GPU
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
High-performance operations for neural network potentials
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
This repository hosts the software of GEMORNA, a generative AI tool for mRNA sequence design.
Collection of articles on good practices and tools to improve C code quality
Protein Engineering via Exploration of an Energy Landscape
De novo genome assembler for long uncorrected reads
A library of generic data structures for the C language.
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
🔬 Path to a free self-taught education in Bioinformatics!
👦 👧 Technical-Interview guidelines written for those who started studying programming. I wish you all the best. 👾
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.
Graph Machine Learning course, Xavier Bresson, 2023
Tutorials on how to use pandas effectively to do data analysis
In-silico design pipeline for evaluating protein structure diffusion models.
Collection of CS2040(S) PYPs - last updated 23 February 2026
Programming exercises, code katas and puzzles for your job interview training - or just for fun.
Tensors and Dynamic neural networks in Python with strong GPU acceleration