gaussian37

pytorch_deep_learning_models

This repository includes deep learning implementation with pytorch.

S3UpDownLoader

Up Downloader for S3 storage

gaussian37.github.io

gaussian37's blog

monodepth2_simple

simplified monodepth2 code

pytorch_onnx_exporter

This code helps to export pytorch model to onnx

Machine-Learning-Implementation

Machine Learning Implementation with Scikit-learn

Mathematics-For-Machine-Learning

Coursera course of Mathematics For Machine Learning

sigmaGap

recommend KOSPI stocks as reference to closing & highest price of each day.

Vision

Computer Vision with Python

Algorithm

algorithm with naive C

classification_models

Classification models trained on ImageNet. Keras.

djangoserver

회식대장 앱 서버

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.

Machine-Learning-Collection

Traditional Machine Learning and Deeplearning using Pytorch

machine-learning-with-naive-c

All machine learning algorithms are implemented with naive c

calicam

CaliCam: Calibrated Fisheye Stereo & Mono Camera

CenterNet-HarDNet

Object detection achieving 44.3 mAP / 45 fps on COCO dataset

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Deep_Learning

added all materials

deeplearning.ai

DySPN

Non-official PyTorch implementation of the "Dynamic Spatial Propagation Network for Depth Completion"

FCHarDNet

Fully Convolutional HarDNet for Segmentation in Pytorch

FCN-pytorch-easiest

trying to be the most easiest and just get-to-use pytorch implementation of FCN (Fully Convolutional Networks)

gradcam_plus_plus-pytorch

A Simple pytorch implementation of GradCAM and GradCAM++

Hello-Generative-Model

PyTorch를 활용한 Generative Model 입문 CAMP (실습자료)

mathematics-for-machine-learning-cousera

quizzes/assignments for mathematics for machine learning specialization on coursera

nerf_simple

simplified vanilla nerf code

optimal_state_estimation_with_c

This repository is for linear algebra with only C99

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)