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EasyXT是基于miniqmt中xtquant的二次开发封装库,旨在简化xtquant的使用,提供更友好的API接口。通过统一的接口设计、智能参数处理和完善的错误处理,让量化交易开发变得更加简单高效。
Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
alexeygrigorev / libffm-python
Forked from ycjuan/libffmA Python wrapper for LibFFM
Web & Mobile UI for Claude Code & Codex . Launch sessions, stream responses, approve tools. All from your browser / mobile
🦭 Distributed log streaming engine built from first principles
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
Python implementations of the Boruta all-relevant feature selection method.
Pure C inference of Mistral Voxtral Realtime 4B speech to text model
This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.
The swiss army knife of lossless video/audio editing
TCGA data acquisition and processing for Project Cognoma
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
An open-source, AI-integrated, cross-platform terminal for seamless workflows
"Paper2Slides: From Paper to Presentation in One Click"
ShinyCell2 is a lightweight R package for building interactive, shareable apps to explore single-cell multi-omics, scATAC-seq and spatial transcriptomics data with customizable, publication-ready v…
Single-cell RNA-Seq pipeline for barcode-based protocols such as 10x, DropSeq or SmartSeq, offering a variety of aligners and empty-droplet detection
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
A free, open source, and extensible speech-to-text application that works completely offline.