tommyfuu

tommyfuu's Stars

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.9k9981.1k9.7k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.6k2442.6k3.3k

• ekzhang/sshx

  Fast, collaborative live terminal sharing over the web

  Language:Rust6.3k2883213

• rtqichen/torchdiffeq

  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

  Language:Python5.9k127222950

• zhouhaoyi/Informer2020

  The GitHub repository for the paper "Informer" accepted by AAAI 2021.

  Language:Python5.8k375941.2k

• lucidrains/x-transformers

  A concise but complete full-attention transformer with a set of promising experimental features from various papers

  Language:Python5.2k56245444

• yanx27/Pointnet_Pointnet2_pytorch

  PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

  Language:Python4k17274937

• hila-chefer/Transformer-Explainability

  [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

  Language:Jupyter Notebook1.9k2064247

• lfz/DSB2017

  The solution of team 'grt123' in DSB2017

  Language:Python1.2k56131416

• Ma-Lab-Berkeley/CRATE

  Code for CRATE (Coding RAte reduction TransformEr).

  Language:Python1.2k202295

• Pseudomanifold/latex-mimosis

  A minimal & modern LaTeX template for your (bachelor's | master's | doctoral) thesis

  Language:TeX1.2k2126135

• sebp/scikit-survival

  Survival analysis built on top of scikit-learn

  Language:Python1.2k21238218

• bowang-lab/scGPT

  Language:Jupyter Notebook1.2k33255244

• hila-chefer/Transformer-MM-Explainability

  [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

  Language:Jupyter Notebook838836109

• gzerveas/mvts_transformer

  Multivariate Time Series Transformer, public version

  Language:Python812370177

• msurtsukov/neural-ode

  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

  Language:Jupyter Notebook739134125

• zhihanyue/ts2vec

  A universal time series representation learning framework

  Language:Python670542158

• yrosseel/lavaan

  an R package for structural equation modeling and more

  Language:R45444261103

• taesiri/ArXivQA

  WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)

  Language:Python33911715

• mattsherar/Temporal_Fusion_Transform

  Pytorch Implementation of Google's TFT

  Language:Jupyter Notebook25331461

• Navidfoumani/ConvTran

  This is a PyTorch implementation of ConvTran

  Language:Python14911312

• czifan/DeepSurv.pytorch

  Language:Python1381927

• BorgwardtLab/Set_Functions_for_Time_Series

  Repository of the ICML 2020 paper "Set Functions for Time Series"

  Language:Python12471229

• mlds-lab/interp-net

  Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.

  Language:Python9481415

• sindhura97/STraTS

  Language:Python731621

• BrunakSanderLabs/CancerRiskNet

  Language:Python607323

• philipdarke/torchtime

  Benchmark time series data sets for PyTorch

  Language:Python35235

• itmoon7/onconpc

  Clinical sequencing-based primary site classifier

  Language:Jupyter Notebook33169

• layer6ai-labs/DuETT

  Code for "DuETT: Dual Event Time Transformer for Electronic Health Records"

  Language:Python22405

• tommyfuu/MOSAIC

  A pipeline for executing and evaluating microbiome data integration methods using multiple novel, data-driven metrics.

  Language:R3200