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TensorFlow Tutorials with YouTube Videos
Code for Tensorflow Machine Learning Cookbook
Open-source demos hosted on Dash Gallery
Implementations of CNNs, RNNs, GANs, etc
My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version
State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.
my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition
Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset
Football Match prediction using machine learning algorithms in jupyter notebook
Convolutional Neural Networks for Visual Recognition in Stanford
Contains source code for the winning solution of the xView3 challenge https://iuu.xview.us/.
Reference data processing code and model for the xView3 prize challenge.
Ship detection from remote sensing imagery is a crucial application for maritime security which includes among others traffic surveillance, protection against illegal fisheries, oil discharge contr…
Ship detection on radar images using Keras
An Architecture Combining CNN and SVM for Image Classification
Detection of oil spill located area in the Satelite images of Ocean
Anomaly detected using aerial imagery can be of many types like unknown ship in docks, or a unidentified aircraft at the airport and other similar anomalies. In this project we've mainly focused on…
This contains various code I wrote for Stanford CS231n, including SVM, NN, CNN, LSTM, etc
aihill / 10-steps-to-become-a-data-scientist
Forked from greensdata/10-steps-to-become-a-data-scientist📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, P…
Stanford CS231n: Convolutional Neural Networks for Visual Recognition assignments
This repository contains anamoly detection on sar images . For example : Ships in sea while in foreign borders is a anamoly, This system detects such anamolies and is widely used in military and se…
Different Faster R-CNN models implemented to solve sar ship detection
praveenkumarchandaliya / Convolutional_neural_network
Forked from llSourcell/Convolutional_neural_networkThis is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube
naloboud / handson-ml
Forked from AlamShariful/handson-mlA series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Keras implementation of a CNN network for age and gender estimation