Nhat Truong Pham (Skyo)'s repositories
mol-lang-bridge
Language and Molecules Translation for Scientific Insight and Discovery
AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
AI4Water
framework for developing machine (and deep) learning models for structured data
awesome-AI4ProteinConformation-MD
List of protein conformations and molecular dynamics using generative artificial intelligence and deep learning
Awesome-Bio-Foundation-Models
A collection of awesome bio-foundation models, including protein, RNA, DNA, gene, single-cell, and so on.
awesome-BioMolFold
RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding
Awesome-Interpretability-in-Large-Language-Models
This repository collects all relevant resources about interpretability in LLMs
Awesome-Scientific-Language-Models
A Curated List of Language Models in Scientific Domains
chemcrow-public
Chemcrow
Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
evo
Biological foundation modeling from molecular to genome scale
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
getting-started-with-genomics-tools-and-resources
Unix, R and python tools for genomics and data science
lightly
A python library for self-supervised learning on images.
LLM101n
LLM101n: Let's build a Storyteller
nhattruongpham.github.io
Officially personal website
papers-for-molecular-design-using-DL
List of molecular design using Generative AI and Deep Learning
papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
pykan
Kolmogorov Arnold Networks
scRNA-seq_notes
A list of scRNA-seq analysis tools
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
xtuner
An efficient, flexible and full-featured toolkit for fine-tuning large models (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)