Static Features Classifier - A static features classifier for Point-Could clusters using an Attention-RNN model

Overview

Static Features Classifier

This is a static features classifier for Point-Could clusters using an Attention-RNN model

Installation

$ git clone https://github.com/Mohtasib/Static_Features_Classifier.git
$ cd Static_Features_Classifier
$ conda create -n sfc_env python==3.6.10
$ conda activate sfc_env
$ pip install -e .

Example Code

You can simple run the following command to run a sample code

$ python examples/train_and_evaluate.py

Usage

1. Import Libraries:

import numpy as np
from sfc.util import create_dataset
from sfc.models.Attention_RNN import Attention_RNN

2. Define the constants:

NUM_FEATURES = ...

3. Define the directories:

DATA_PATH = ...
My_Model_Logs_DIR = ...
My_Model_Weights = My_Model_Logs_DIR + 'Best_Attention_RNN_ckpt.h5'

4. Create the dataset:

features, labels = create_dataset(DATA_PATH, NUM_FEATURES)

5. Create the model:

My_Model = Attention_RNN(Logs_DIR=My_Model_Logs_DIR)

6. Load the data into the model:

My_Model.x_train = features
My_Model.y_train = labels
My_Model.x_test = ...
My_Model.y_test = ...

7. Train the model:

My_Model.Fit()

8. Evaluate the model:

My_Model.Evaluate()

9. Predict using the model:

predictions = My_Model.Predict(data)

NOTE: More details will be available soon!!!

Owner
ABDALKARIM MOHTASIB
ABDALKARIM MOHTASIB
This repository contains the code needed to train Mega-NeRF models and generate the sparse voxel octrees

Mega-NeRF This repository contains the code needed to train Mega-NeRF models and generate the sparse voxel octrees used by the Mega-NeRF-Dynamic viewe

cmusatyalab 260 Dec 28, 2022
Accuracy Aligned. Concise Implementation of Swin Transformer

Accuracy Aligned. Concise Implementation of Swin Transformer This repository contains the implementation of Swin Transformer, and the training codes o

FengWang 77 Dec 16, 2022
Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning

isvd Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning If you find this code useful, you may cite us as: @inprocee

Sami Abu-El-Haija 16 Jan 08, 2023
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (Local-Lip)

Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (Local-Lip) Introduction TL;DR: We propose an efficient and trainabl

17 Dec 01, 2022
Projects for AI/ML and IoT integration for games and other presented at re:Invent 2021.

Playground4AWS Projects for AI/ML and IoT integration for games and other presented at re:Invent 2021. Architecture Minecraft and Lamps This project i

Vinicius Senger 5 Nov 30, 2022
CAMoE + Dual SoftMax Loss (DSL): Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss

CAMoE + Dual SoftMax Loss (DSL): Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss This is official implement of "

程星 87 Dec 24, 2022
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems

PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training fr

National Renewable Energy Laboratory 37 Dec 17, 2022
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE TGRS, 2021.

Graph Convolutional Networks for Hyperspectral Image Classification Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot T

Danfeng Hong 154 Dec 13, 2022
An open source Jetson Nano baseboard and tools to design your own.

My Jetson Nano Baseboard This basic baseboard gives the user the foundation and the flexibility to design their own baseboard for the Jetson Nano. It

NVIDIA AI IOT 57 Dec 29, 2022
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

OpenPCDet OpenPCDet is a clear, simple, self-contained open source project for LiDAR-based 3D object detection. It is also the official code release o

OpenMMLab 3.2k Dec 31, 2022
Photo2cartoon - 人像卡通化探索项目 (photo-to-cartoon translation project)

人像卡通化 (Photo to Cartoon) 中文版 | English Version 该项目为小视科技卡通肖像探索项目。您可使用微信扫描下方二维码或搜索“AI卡通秀”小程序体验卡通化效果。

Minivision_AI 3.5k Dec 30, 2022
[CVPR 2020] Transform and Tell: Entity-Aware News Image Captioning

Transform and Tell: Entity-Aware News Image Captioning This repository contains the code to reproduce the results in our CVPR 2020 paper Transform and

Alasdair Tran 85 Dec 13, 2022
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

PhyCRNet Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs Paper link: [ArXiv] By: Pu Ren, Chengping Rao, Yang

Pu Ren 11 Aug 23, 2022
Gradient Step Denoiser for convergent Plug-and-Play

Source code for the paper "Gradient Step Denoiser for convergent Plug-and-Play"

Samuel Hurault 11 Sep 17, 2022
Multi-modal Vision Transformers Excel at Class-agnostic Object Detection

Multi-modal Vision Transformers Excel at Class-agnostic Object Detection

Muhammad Maaz 206 Jan 04, 2023
LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice,

LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice, for a model of choice, by iteratively removing each feature from the set, and eval

Ahmet Erdem 691 Dec 23, 2022
Detecting drunk people through thermal images using Deep Learning (CNN)

Drunk Detection CNN Detecting drunk people through thermal images using Deep Learning (CNN) Dataset We used thermal images provided by Electronics Lab

Giacomo Ferretti 3 Oct 27, 2022
Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps

Proximal Backpropagation Proximal Backpropagation (ProxProp) is a neural network training algorithm that takes implicit instead of explicit gradient s

Thomas Frerix 40 Dec 17, 2022
Deep Learning agent of Starcraft2, similar to AlphaStar of DeepMind except size of network.

Introduction This repository is for Deep Learning agent of Starcraft2. It is very similar to AlphaStar of DeepMind except size of network. I only test

Dohyeong Kim 136 Jan 04, 2023
Learning to Predict Gradients for Semi-Supervised Continual Learning

Learning to Predict Gradients for Semi-Supervised Continual Learning Code for project: "Learning to Predict Gradients for Semi-Supervised Continual Le

Yan Luo 2 Mar 05, 2022