Pinned Repositories
DeepCaps
PyTorch implementation of DeepCaps : Going Deeper with Capsule Networks. Original research paper : https://arxiv.org/abs/1904.09546.
Face-Recognition-Eigenface-Scratch
Face detection and recognition using Eigenfaces using only NumPy and OpenCV
Faster-RCNN-RPN
Region Proposal Network (RPN) of Faster R-CNN implementation in Python and Tensorflow 1.8 with explanations.
Kalman-Filter-Scratch
Implementation of Kalman Filter from scratch with notes.
Multilayer-Perceptron-Scratch
Multilayer Perceptron from scratch using NumPy.
Multiple-Linear-Regression-Gradient-Descent-Scratch
Multiple Linear regression in Python using only Numpy. With Notes.
Principal-Component-Analysis-Scratch
Principal Component Analysis algorithm from scratch using only NumPy with notes.
VGG-16-PyTorch1.5
Visualizing-CNN
Visualize the weights of the convolution filters and feature maps.
YOLOv2-PyTorch
Implementation of YOLO Version 2 in Pytorch 1.4
Vision Lab MMU's Repositories
MMU-VisionLab/DeepCaps
PyTorch implementation of DeepCaps : Going Deeper with Capsule Networks. Original research paper : https://arxiv.org/abs/1904.09546.
MMU-VisionLab/Face-Recognition-Eigenface-Scratch
Face detection and recognition using Eigenfaces using only NumPy and OpenCV
MMU-VisionLab/Faster-RCNN-RPN
Region Proposal Network (RPN) of Faster R-CNN implementation in Python and Tensorflow 1.8 with explanations.
MMU-VisionLab/Kalman-Filter-Scratch
Implementation of Kalman Filter from scratch with notes.
MMU-VisionLab/Multilayer-Perceptron-Scratch
Multilayer Perceptron from scratch using NumPy.
MMU-VisionLab/Multiple-Linear-Regression-Gradient-Descent-Scratch
Multiple Linear regression in Python using only Numpy. With Notes.
MMU-VisionLab/Principal-Component-Analysis-Scratch
Principal Component Analysis algorithm from scratch using only NumPy with notes.
MMU-VisionLab/VGG-16-PyTorch1.5
MMU-VisionLab/Visualizing-CNN
Visualize the weights of the convolution filters and feature maps.
MMU-VisionLab/YOLOv2-PyTorch
Implementation of YOLO Version 2 in Pytorch 1.4
MMU-VisionLab/CapsNet-MNIST-TF
Capsule network in Tensorflow for MNIST
MMU-VisionLab/CapsNet-PyTorch
Capsule Network with Dynamic Routing using PyTorch version 1.4
MMU-VisionLab/CapsNet-vs-CNN
CapsNet vs CNN : Analysis Of The Effects Of Varying Feature Spatial Arrangement
MMU-VisionLab/Deep_Hierarchical_Classification
PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System
MMU-VisionLab/DFT-and-FFT-NumPy
Discrete Fourier Transform and Fast Fourier Transform implementation using only NumPy with notes.
MMU-VisionLab/Jarvis-March-Algorithm
Jarvis' March or Gift Wrapping algorithm to calculate convex hull.
MMU-VisionLab/K-Means-Scratch
Image Segmentation using K-Means (K-Means from scratch)
MMU-VisionLab/LSTM-RNN-Tensorflow
Long Short-Term Memory RNN using tensorflow.
MMU-VisionLab/ML-Performance_Metrics
Notes and example codes on performance metrics.
MMU-VisionLab/Multiple-Linear-Regression-Normal-Equation-Scratch
Multiple Linear Regression with Normal Equation using NumPy.
MMU-VisionLab/NTU-RGB-Skeleton-Python
Read the skeleton files provided in NTU RGB skeleton dataset and draw the skeleton on the corresponding RGB video.
MMU-VisionLab/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
MMU-VisionLab/PyTorch-Examples
Examples of PyTorch version 1.5
MMU-VisionLab/ResNet-50-CBAM-PyTorch
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.
MMU-VisionLab/Sagemaker-Training
Training a model with sagemaker using notebook instance.
MMU-VisionLab/Software-Design-Patterns
Notes and Python Implementation of some well-known software design patterns.
MMU-VisionLab/TF-Serving-MNIST
Serve an MNIST model with TF Serving.
MMU-VisionLab/Transfer-Learning-PyTorch1.5