yenchiah Goto Github PK

2022-datascience-lectures

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

ape-analysis

attentionbot

A Robot Keeping Human Attention

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

augmentor

Image augmentation library in Python for machine learning.

autolab

Course management service that enables auto-graded programming assignments.

automate-plume-viz

Generate visualizations of smell reports and forward dispersion simulation (using the HYSPLIT model)

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

calendar-heatmap

Calendar heatmap with matplotlib and random data

charades-algorithms

Activity Recognition Algorithms for the Charades Dataset

ciml

A Course in Machine Learning

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

cocalc

CoCalc: Collaborative Calculation in the Cloud

cocteau-tud

A Tool for Citizen Engagement at Scale

covid-19-tweetids

The repository contains an ongoing collection of tweets IDs associated with the novel coronavirus COVID-19 (SARS-CoV-2), which commenced on January 28, 2020.

cs231n.github.io

Public facing notes page

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

dark-channel-prior-dehazing

Python implementation of "Single Image Haze Removal Using Dark Channel Prior"

data-science-book-uva

Website for the data science course 2024 (Bachelor level) at the Informatics Institute, University of Amsterdam

data-science-book-uva-2023

Website for the 2023 edition of the data science course (Bachelor level) at the Informatics Institute, University of Amsterdam

data-visualization-tools

EarthTime, and various data visualization libraries

dcgan_surrogate_of_hysplit

dcpdn

Densely Connected Pyramid Dehazing Network (CVPR'2018)

deep-active-learning

Deep Active Learning

deep-smoke-machine

Deep learning models and dataset for recognizing industrial smoke emissions

docs

Yen-Chia Hsu Documentation

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.