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Name: Vision Lab MMU
Type: Organization
Bio: Vision Lab in Multimedia University, Cyberjaya
Location: Multimedia University, Cyberjaya
Name: Vision Lab MMU
Type: Organization
Bio: Vision Lab in Multimedia University, Cyberjaya
Location: Multimedia University, Cyberjaya
Capsule network in Tensorflow for MNIST
Capsule Network with Dynamic Routing using PyTorch version 1.4
CapsNet vs CNN : Analysis Of The Effects Of Varying Feature Spatial Arrangement
PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System
PyTorch implementation of DeepCaps : Going Deeper with Capsule Networks. Original research paper : https://arxiv.org/abs/1904.09546.
Discrete Fourier Transform and Fast Fourier Transform implementation using only NumPy with notes.
Face detection and recognition using Eigenfaces using only NumPy and OpenCV
Region Proposal Network (RPN) of Faster R-CNN implementation in Python and Tensorflow 1.8 with explanations.
Jarvis' March or Gift Wrapping algorithm to calculate convex hull.
Image Segmentation using K-Means (K-Means from scratch)
Implementation of Kalman Filter from scratch with notes.
Long Short-Term Memory RNN using tensorflow.
Notes and example codes on performance metrics.
Multilayer Perceptron from scratch using NumPy.
Multiple Linear regression in Python using only Numpy. With Notes.
Multiple Linear Regression with Normal Equation using NumPy.
Read the skeleton files provided in NTU RGB skeleton dataset and draw the skeleton on the corresponding RGB video.
Most popular metrics used to evaluate object detection algorithms.
Principal Component Analysis algorithm from scratch using only NumPy with notes.
Examples of PyTorch version 1.5
Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.
Training a model with sagemaker using notebook instance.
Notes and Python Implementation of some well-known software design patterns.
Serve an MNIST model with TF Serving.
Visualize the weights of the convolution filters and feature maps.
Implementation of YOLO Version 2 in Pytorch 1.4
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An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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Some thing interesting about web. New door for the world.
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Some thing interesting about visualization, use data art
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Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.