knulp3126 Goto Github PK

amaarora.github.io

coding-interview-university

A complete computer science study plan to become a software engineer.

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.

data-science-portfolio

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

deep-learning-paper-review-and-practice

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

enet-real-time-semantic-segmentation

ENet - A Neural Net Architecture for real time Semantic Segmentation

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

generalizedwassersteindiceloss

Official implementation of the Generalized Wasserstein Dice Loss in PyTorch

goquality-dev-contents

{ 고퀄리티 :zap: 개발 컨텐츠 모음 }

i-want-to-study-data-science

데이터 사이언스를 공부하고 싶은 분들을 위한 글

junior-recruit-scheduler

주니어 개발자 채용 정보

landscapeviz

Visualizing the the loss landscape of Fully-Connected Neural Networks

lightning-kitti

Semantic Segmentation with Pytorch-Lightning

linear_algebra_with_python

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machine-learning-projects

Machine Learning Experiments and Work

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

multiclass-semantic-segmentation

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch; Multi-GPU]

neuralnetworknoob

My first implementation of a neural network

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

top2vec

Top2Vec learns jointly embedded topic, document and word vectors.

transformers

unet-multiclass-pytorch

Multiclass semantic segmentation using U-Net architecture combined with strong image augmentation

unet-nested-multiple-classification

This repository contains code for a multiple classification image segmentation model based on UNet and UNet++