A Deep feed forward neural network that learns the MNIST dataset for digit classification...
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Updated
Dec 2, 2018 - C++
A Deep feed forward neural network that learns the MNIST dataset for digit classification...
Real-time solution to the target guarding problem using constrained optimization
Training diverse kind of neural nets architectures with C++
Gradient descent for estimating inbreeding spatial coefficients from pairwise-IBD estimates
gradient-based symbolic execution engine implemented from scratch
Like torch, but rather than seeing the light, you get burnt.
Time Complexity Tester is a customizable time complexity testing program that allows the user to determine or assert the complexity of user-defined functions. The program uses gradient descent and mean squared error to determine the best fit time-complexity.
Resilient backProp Neural Network
Predictors for Trickling in Wireless Sensor Networks (WSNs)
Learns using the input from the testing_data how to compute the output
A simple & scalable neural network framework
There exists no equation for the perimeter of an ellipse (excluding infinite series). This project uses gradient descent to find an approximate equation.
Collection of C++ based algorithms on numerics, statistics, control, reinforcement learning, machine learning and robotics
Numerical Optimization library implementing Gradient Descent and Newton's method using backtracking line search for finding the minimum.
Histogram of oriented gradients (HOG) on GPU
Numerical optimization library in C++.
CNN implemented without the use of any libraries
⭐ RANSAC is an algorithm used for fiting models with posible large amount of noise that can get wors performance due to this outlier points. In this project, its build a model to fit noisy linear data.
From linear regression towards neural networks...
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