An end-to-end machine learning pipeline template with built-in explainability

PyQT based GUI to classify the plant disease classification. Model is trained on Kaggle data.

Here we are going to discuss variant calling on human datasets using GATK Best practices pipeline

Seq2Neo: a comprehensive pipeline for cancer neoantigen immunogenicity prediction

📱 ✅ Some awesome projects in python! 📱 ✅

Molecular bloom filter tool

This deals with EDA and building various ML models using sklearn: KNeighborsRegressor DecisionTreeRegressor RandomForestRegressor,AdaBoostRegressor LinearRegression, Ridge,Lasso, etc and HP using r…

It is POC project, using Nextflow to run ML pipeline

Its is an End-to-End Random forest implementation includes data preprocessing [ cleaning, feature selection and engineering],EDA, hyperparameter tuning, Model interpretation with uncertainty and pr…

MolPro is a comprehensive python package for small molecule generation using protein active site or/and similar molecules using 3D information of molecules with in-silico validation of molecules by…

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Collection of bioinformatics training materials

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

List of AI Residency Programs

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

Notebooks for the Practicals at the Deep Learning Indaba 2022.

Learn ML engineering for free in 4 months! Register here 👇🏼

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

OmniXAI: A Library for eXplainable AI

Workflow for SARS-CoV-2 genome Assembly at FioCruz/IAM

The fastai book, published as Jupyter Notebooks

PyTorch Tutorials from my YouTube channel

A tool for evaluating the predictive performance on activity cliff compounds of machine learning models