A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
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A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Python API for Deequ
Easy pipelines for pandas DataFrames.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
Python package for Bayesian Machine Learning with scikit-learn API
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
Reference mapping for single-cell genomics
Implementation of various topic models
This trading-gym is the first trading for agent to train with episode of short term trading itself.
ChatGPT Python Applications integrated with third party libraries and modules
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
Integrated pipeline for multiplexed image analysis
Compilado de recursos sobre Computação Quântica em português
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Exercises for the lecture "Selected Topics in Audio Signal Processing"
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
A simple data project for Steam data
Signal generators ( AD9833, AD9834, AD9850, ADF4351) tools box.
Compiles Transportation Speed and Ridership Data
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.