Jahir Gutierrez's repositories
Deep-Learning-For-Drug-Protein-Interactions
A Python implementation for training a neural network for predicting drug-protein interactions using Keras and Tensorflow
TrustKeeper
A fraud prevention system for Peer-to-Peer transaction networks (Jahir M Gutierrez)
Quantitative-Trading
Notebooks and Scripts for Quant Trading using Python and Yahoo Finance API
Text-Mining-for-Gene-Gene-Interactions
Application for extracting gene-gene interactions from PUBMED using Stanford's NLP and DeepDive
AI_Startup_Prototype
This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube
An-Introduction-To-Applied-Bioinformatics
Interactive lessons in bioinformatics.
brain-tokyo-workshop
🧠🗼
CPI_prediction
This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional neural network (CNN) for proteins.
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
Data-Science--Cheat-Sheet
Cheat Sheets
Deep_reinforcement_learning_Course
Notebooks from the free course Deep Reinforcement Learning with Tensorflow
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
escher
Build, view, share, and embed pathway maps.
ET357_2018A
Course Materials for ET357 (Computational Modeling in Medicine and Bioengineering) as taught during the Spring semester 2018A at the University of Guadalajara (CUCEI)
GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
Investment-Portfolio-Optimization
MATLAB and R examples for computing Markowitz Optimization on a toy investment Portfolio
JAVA_DATASTRUCTURES
Implementation of basic data structures in Java
low-N-protein-engineering
Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".
masif
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
mat2vec
Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
MLDE
A machine-learning package for navigating combinatorial protein fitness landscapes.
mr1-screening
In silico screening of cancer metabolites that may bind MR1 receptor
prose
Multi-task and masked language model-based protein sequence embedding models.
shap
A unified approach to explain the output of any machine learning model.
treeexplainer-study
Code and documentation for experiments in the TreeExplainer paper
trimap
TriMap: Large-scale Dimensionality Reduction Using Triplets
UniRep
UniRep model, usage, and examples.
UniRep-analysis
Analysis and figure code from Alley et al. 2019.