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Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales…
Reproducing Spiking Transformers using Briancog
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
Machine Learning Resources, Practice and Research
Understanding Deep Learning - Simon J.D. Prince
The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algor…
Loss function Package Tensorflow Keras PyTOrch
📝 Exam bubble sheet scorer. Created with OpenCV and Python.
Segment Anything in Medical Images
Code examples for the book "Make: AVR Programming"
This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.
This repository displays the demos of some Intelligent Optimization Algorithms, including SA (Simulated Annealing), GA (Genetic algorithm), PSO (Particle Swarm Optimizer) and so on. And some other …
This script implements the hybrid of PSO and GWO optimization algorithm.
Intrusion Detection is a technique to identify the abnormal behavior of system due to attack. The unusual behavior of the environment is then identified and steps are taken and methods are formed t…
Architecting and Building High Speed SoCs, published by Packt
Collection of undergraduate course homework and projects
[MICCAI 2021] Boundary-aware Transformers for Skin Lesion Segmentation
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.
A collection of computer vision pre-trained models.
Photovoltaic cell characteristic is non-linear. This is due to the variation in the value of irradiance and temperature changes throughout the day, thus decreasing the output efficiency. The object…
Predicting the hourly energy production of a photovoltaic module with an Artificial Neural Network.
Dockerized Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.
Implementation of Nougat Neural Optical Understanding for Academic Documents
Build Your Own Programming Language, published by Packt
Deep and online learning with spiking neural networks in Python
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Pytorch Code for the paper TransWeather - CVPR 2022
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.