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algorithm

algorithm with naive C

all-about-the-gan

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

calicam

CaliCam: Calibrated Fisheye Stereo & Mono Camera

centernet-hardnet

Object detection achieving 44.3 mAP / 45 fps on COCO dataset

classification_models

Classification models trained on ImageNet. Keras.

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

cyclegan-pytorch

A clean and lucid implementation of cycleGAN using PyTorch

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep_learning

added all materials

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

deeplearning.ai

djangoserver

회식대장 앱 서버

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)

gaussian37.github.io

gaussian37's blog

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gradcam_plus_plus-pytorch

A Simple pytorch implementation of GradCAM and GradCAM++

hello-generative-model

PyTorch를 활용한 Generative Model 입문 CAMP (실습자료)

hungarian-algorithm-cpp

A C++ wrapper for a hungarian algorithm implementation

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-implementation

Machine Learning Implementation with Scikit-learn

machine-learning-with-naive-c

All machine learning algorithms are implemented with naive c

machine_learning_examples

A collection of machine learning examples and tutorials.

mathematics-for-machine-learning

Coursera course of Mathematics For Machine Learning

mathematics-for-machine-learning-cousera

quizzes/assignments for mathematics for machine learning specialization on coursera

monodepth2_simple

simplified monodepth2 code

nerf_simple

simplified vanilla nerf code