3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

8-puzzle-a-star-search

This repository contains C++ implementation of A* search algorithm for finding path to goal state for 8 puzzle problem in AI.

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

acuiti

Icon Matching with Shape Context Descriptors.

afpn

aic22_track1_mtmc_id10

Solution of The AI City Challenge 2022 Track 1

aicity2021_track2_dmt

The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

assignments

Course assignments

auto-sklearn

Automated Machine Learning with scikit-learn

awesome-interview-questions

:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:

awesome-llm-rag

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

awesome-multiple-object-tracking

Resources for Multiple Object Tracking (MOT)

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

brats23-tumors-segmentation

Brain tumors segmentation on 3D MRI images. The model has been trained on BratTS20 and BraTS21 datasets, and now working with BraTS23.

caffe

Caffe: a fast open framework for deep learning.

centroids-reid

On the Unreasonable Effectiveness of Centroids in Image Retrieval

chroma

the AI-native open-source embedding database

ckd-transbts

Brain tumor segmentation on BraTS21 dataset

coding_interviews

colab

[TMI2023] Context Label Learning: Improving Background Class Representations in Semantic Segmentation.

computer-vision-course

Computer Vision course for CS bachelors in UCU (2019)

conv_arithmetic

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

convolutional-neural-networks-in-tensorflow

Convolution Neural Networks implementation in TensorFlow

courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

covid-ct-code

Fully automated code for Covid-19 detection from CT scans from paper: https://doi.org/10.1016/j.bspc.2021.102588

crop-yolo-bounding-boxes

YOLO has many variants such as YOLOv5, YOLOv4, YOLOv7, and YOLOv8. Sometimes, it's important to use cropped annotations i.e. to train a second stage classifer etc.

crossstagepartialnetworks

Cross Stage Partial Networks

deep-learning-course

Deep learning course coding examples and exercises