Icespellcaster

Icespellcaster's Stars

• wilsonrljr/sysidentpy

  A Python Package For System Identification Using NARMAX Models

  Language:Python37374

• GeorgiosEtsias/Time-series-prediction-NARX

  The project uses a nonlinear autoregressive exogenous (NARX), model to make time-series prediction on data obtained from drive cycling testing on buses

  Language:MATLAB286

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.5k3.8k

• Dooy/chatgpt-web-midjourney-proxy

  One UI is all done with chatgpt web, midjourney, gpts,suno,luma,runway,viggle; Simultaneous support Web / PWA / Linux / Win / MacOS platform

  Language:JavaScript4.6k1.2k

• bunnech/cellot

  Learning Single-Cell Perturbation Responses using Neural Optimal Transport

  Language:Python10710

• alncat/opusDSD

  deep structural disentanglement

  Language:Python325

• YosefLab/velovi

  Language:Python367

• icbi-lab/infercnvpy

  Infer copy number variation (CNV) from scRNA-seq data. Plays nicely with Scanpy.

  Language:Python12927

• dpeerlab/spectra

  Supervised Pathway DEConvolution of InTerpretable Gene ProgRAms

  Language:Python13917

• microsoft/qlib

  Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

  Language:Python15.1k2.6k

• gevaertlab/GBM360

  Spatial cellular architecture predicts prognosis in glioblastoma - Nature Communications

  Language:Python182

• leihouyeung/STdeconv_benchmark

  The benchmarking of spatial transcriptomics deconvolution methods

  Language:Jupyter Notebook203

• ma-compbio/SpiceMix

  spatial transcriptome, single cell

  Language:Jupyter Notebook629

• almaan/stereoscope

  Spatial mapping of cell types by integration of transcriptomics data

  Language:Python8726

• YMa-lab/CARD

  Language:R8621

• broadinstitute/Tangram

  Spatial alignment of single cell transcriptomic data.

  Language:Jupyter Notebook24450

• QuKunLab/SpatialBenchmarking

  Language:Jupyter Notebook10726

• shuxiaoc/mario-py

  MARIO: single-cell proteomic data matching and integration using both shared and distinct features

  Language:Jupyter Notebook212

• shobrook/communities

  Library of community detection algorithms and visualization tools

  Language:Python720100

• MakiNaruto/Automatic_ticket_purchase

  大麦网抢票脚本

  Language:Python4.2k822

• LieberInstitute/HumanPilot

  Spatial Transcriptomics human DLPFC pilot study part of the spatialLIBD project

  Language:HTML6729

• cmavro/Graph-InfoClust-GIC

  [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning

  Language:Jupyter Notebook348

• facebookresearch/deepcluster

  Deep Clustering for Unsupervised Learning of Visual Features

  Language:Python1.7k324

• hellowangqian/multi-label-image-classification

  A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN

  Language:Python7922

• CRIPAC-DIG/GCA

  [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

  Language:Python16026

• TrustAGI-Lab/SUBLIME

  [WWW'22] Towards Unsupervised Deep Graph Structure Learning

  Language:Python12823

• scverse/scvi-tools

  Deep probabilistic analysis of single-cell and spatial omics data

  Language:Python1.2k346

• morris-lab/CellOracle

  This is the alpha version of the CellOracle package

  Language:Python29751

• PetarV-/DGI

  Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

  Language:Python621137

• YujieMo/SUGRL

  Language:Python4612