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albumentations_examples

Augmentations usage examples for albumentations library

ayolov2

bigdata2nd

《실무로 배우는 빅데이터 기술(개정2판)》 예제 코드

blockchain-papers

A curated list of academic blockchain-related papers

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

cs231n.github.io

Public facing notes page

cs231n_assignments

[Assignments] CS231N: Convolutional Neural Networks for Visual Recognition (2016 & 2017)

cvx-optimization

w/ Convex optimization (cmu lecture and Boyd textbook)

cvx_short_course

Materials for a short course on convex optimization.

darpa-sd2

data-science-from-scratch

"밑바닥부터 시작하는 데이터 사이언스" 예시 코드

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

dgl-tutorial

그래프 딥러닝 라이브러리 DGL 쉽게 배우기

dl-vision

《실전! 텐서플로 2를 활용한 딥러닝 컴퓨터 비전》 예제 코드

dl_tutorials

Deep learning tutorials (2nd ed.)

dl_tutorials_10weeks

Deep Learning Tutorials for 10 Weeks

ethereumbook

Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood

fast-bert

Super easy library for BERT based NLP models

framework

Machine learning, computer vision, statistics and general scientific computing for .NET

hands-on-computer-vision-with-tensorflow-2

Hands-On Computer Vision with TensorFlow 2, published by Packt

handwritten_digit_recognition

Handwritten digit recognition with MNIST & Keras

heaan

hierarchical-localization

Visual localization made easy with hloc

imgaug-doc

Code and assets to generate the documentation of imgaug

ingenjoy.github.io

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kalman_filter

Kalman Filter in Python (파이썬으로 구현하는 칼만 필터)

kronic

Koopman Reduced-Order Nonlinear Identification and Control

lie_groups

Implementation-focused introduction to Lie groups for roboticists