A convolutional neural network model built with Tensorflow & Keras to detect brain tumor and its different variants. Data of the MRI images were found on Kaggle here
The dataset has been divided into 2 categories Testing and Training each of them containing 4 different variants of brain tumor and each variant has 100 - 74 images. You can find the graph of the model training on TensorBoard here
Update 2020.03.13: Release tensorflow-version and pytorch-version DBG complete code. 2019.11.12: Release tensorflow-version DBG inference code. 2019.1
2021-AIAC-QQ-Browser-Hyperparameter-Optimization-Rank6
PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation Description Our work is accpeted by AAAI 2022. Picture: We propose a domain-general
TripClick Baselines with Improved Training Data Welcome 🙌 to the hub-repo of our paper: Establishing Strong Baselines for TripClick Health Retrieval
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Code for EmBERT, a transformer model for embodied, language-guided visual task completion.
COSCO Framework COSCO is an AI based coupled-simulation and container orchestration framework for integrated Edge, Fog and Cloud Computing Environment
About The Project Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm (Random Sample Consensus). Author: Andreas P
Pylearn2: A machine learning research library Warning : This project does not have any current developer. We will continue to review pull requests and
PyTorch implementation of the YOLO (You Only Look Once) v2 The YOLOv2 is one of the most popular one-stage object detector. This project adopts PyTorc
HACKTOBERFEST-2021-WEB-DEV Beginner-Hacktoberfest Need Your first pr for hacktoberfest 2k21 ? come on in About This is repository of Responsive Portfo
Predicitng_viability Using Streamlit to host a multi-page tool with model specs and classification metrics, while also accepting user input values for
Gender-classification This is a ML model to classify Male and Females using some physical characterstics Data. Python Libraries like Pandas,Numpy and
FOLD-R-PP The implementation of FOLD-R++ algorithm. The target of FOLD-R++ algorithm is to learn an answer set program for a classification task. Inst
Sync2Gen Code for ICCV 2021 paper: Scene Synthesis via Uncertainty-Driven Attribute Synchronization 0. Environment Environment: python 3.6 and cuda 10
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