Wani-Taka

Wani-Taka's Stars

• huseinzol05/Stock-Prediction-Models

  Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

  Language:Jupyter Notebook7.9k2.8k

• pydata/pandas-datareader

  Extract data from a wide range of Internet sources into a pandas DataFrame.

  Language:Python2.9k681

• lucidrains/iTransformer

  Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

  Language:Python41534

• THUDM/GraphMAE2

  GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

  Language:Python13215

• THUDM/GraphMAE

  GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

  Language:Python46174

• BioinformaticsFMRP/TCGAbiolinks

  TCGAbiolinks

  Language:R289110

• niu-lab/msisensor2

  Microsatellite instability (MSI) detection for tumor only data.

  Language:R9221

• hakomo/Simulated-Annealing-Techniques

  焼きなまし法

  1045

• seongjunyun/Graph_Transformer_Networks

  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

  Language:Jupyter Notebook954179

• xiangyue9607/BioNEV

  Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

  Language:Python22277

• thunlp/NRLPapers

  Must-read papers on network representation learning (NRL) / network embedding (NE)

  Language:TeX2.5k645

• thunlp/OpenNE

  An Open-Source Package for Network Embedding (NE)

  Language:Python1.7k485

• benedekrozemberczki/littleballoffur

  Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

  Language:Python70055

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.7k995

• benedekrozemberczki/SimGNN

  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

  Language:Python747147

• open-mmlab/mmgeneration

  MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

  Language:Python1.9k226

• hokekiyoo/advent-calendar-2017

  データ分析勉強用 advent calendar (https://adventar.org/calendars/2631) リポジトリ

  Language:Jupyter Notebook4222

• anergictcell/pyhpo

  A Python library to work with, analyze, filter and inspect the Human Phenotype Ontology

  Language:Python252

• google/sentencepiece

  Unsupervised text tokenizer for Neural Network-based text generation.

  Language:C++10.1k1.2k

• USCCANA/netdiffuseR

  netdiffuseR: Analysis of Diffusion and Contagion Processes on Networks

  Language:R8521

• GiulioRossetti/ndlib

  Network Diffusion Library - (for NetworkX and iGraph)

  Language:Python27280

• raphael-group/hotnet2

  HotNet2 is an algorithm for finding significantly altered subnetworks in a large gene interaction network

  Language:Python10043

• chihming/awesome-network-embedding

  A curated list of network embedding techniques.

  2.6k504

• welch-lab/liger

  R package for integrating and analyzing multiple single-cell datasets

  Language:R38178

• gao-lab/GLUE

  Graph-linked unified embedding for single-cell multi-omics data integration

  Language:Python36656

• ncborcherding/escape

  Easy single cell analysis platform for enrichment

  Language:R14120

• statOmics/tradeSeq

  TRAjectory-based Differential Expression analysis for SEQuencing data

  Language:HTML23727

• songw01/MEGENA

  Multiscale embedded gene co-expression network analysis

  Language:HTML4816

• mozack/abra2

  ABRA2

  Language:Java909

• AlexandrovLab/SigProfilerExtractor

  SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.

  Language:Python15251