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agents.jl

Agent-based modeling framework in Julia

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

attention_density

convert_fgd_dem

convert DEM ("xml" or "folder containing .xml" or ".zip containing .xml") to GeoTiff and Terrain RGB (Tiff).

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

efficient-capsnet

Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".

ernie

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

gamlp

Code of GAMLP for Open Graph Benchmark. KDD‘22

gemini

Gemini is a modern LaTex beamerposter theme 🖼

he_mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

hegnnenhancecnn

Graph + Image Bimodal Deep Learning for Histology Image Classification

lecture_data_driven_science

2023/09/13 Tokushima University + Yasuhiko Igarashi

llmspracticalguide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

matrix-capsules-with-em-routing

A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).

ml-cvnets

CVNets: A library for training computer vision networks

mlp-attention

Multilayer Perceptron Attention Layer implementation for Relation Extraction

multimae

MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022

performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

posts

Pieces of code that have appeared on my blog with a focus on stochastic simulations.

pytorch-on-angel

PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

tu_latex_template