jafetgado
I use machine learning and informatics in protein design to develop solutions for a circular bio-economy and a sustainable environment.
National Renewable Energy LaboratoryHouston, Texas, USA
jafetgado's Stars
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
andrew-siu12/Predicting-stock-price-movements-using-NLP-and-DL
Using NLP to predict stock price movements
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
gpt-engineer-org/gpt-engineer
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
mheinzinger/ProstT5
Bilingual Language Model for Protein Sequence and Structure
tttianhao/CLEAN
CLEAN: a contrastive learning model for high-quality functional prediction of proteins
ievapudz/TemStaPro
TemStaPro - a program for protein thermostability prediction using sequence representations from a protein language model.
jafetgado/ThermoProt
Predict protein thermostability with ML
PramuPerera/DeepOneClass
Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.
jlaw9/prot_stability_engineering
Using ML to engineer proteins to be more stable
cxli233/FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
Peldom/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
jafetgado/Cel7ML
Sequence-function relationships with ML
samtools/samtools
Tools (written in C using htslib) for manipulating next-generation sequencing data
OATML-Markslab/Tranception
Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"
sacdallago/bio_embeddings
Get protein embeddings from protein sequences
debbiemarkslab/EVE
Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning"
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
fteufel/signalp-6.0
Multi-class signal peptide prediction and structure decoding model.
jafetgado/resreg
Resampling strategies for regression
HannesStark/protein-localization
Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of proteins :microscope:
chloechsu/combining-evolutionary-and-assay-labelled-data
dribnet/plat
sajadn/posterior-collapse-list
A curated list of techniques to avoid posterior collapse
pclucas14/aux-vae
srimukhp/UniRep_plusplus
A repository for fine-tuning UniRep along with feature information
computbiolgeek/ThermoNet
ThermoNet is a computational framework for quantitative prediction of the impact of single-point mutations on protein thermodynamic stability. The core algorithm of ThermoNet is an ensemble of deep 3D convolutional neural networks.
daxm/fmpsdk
SDK for Financial Modeling Prep's (FMP) API
Asplund-Samuelsson/furee
Facilitating UniRep Enzyme Engineering
Knight13/beta-VAE-disentanglement
Understanding disentangling in beta-VAE (Keras)