Popular GitHub Repositories for Cell Selection

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

A selection of state-of-the-art research materials on trajectory prediction

A collection of computer vision pre-trained models.

:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

StarDist - Object Detection with Star-convex Shapes

EvalML is an AutoML library written in python.

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

一种基于迭代多大型语言模型的共识框架，用于提高单细胞RNA测序数据中细胞类型注释的准确性

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation