Some experiments about Machine Learning

深度学习常用优化方法详解

Implementing Multiple Layer Neural Network from Scratch

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

Image morphing without reference points by applying warp maps and optimizing over them.

Code and data for Neural Holography

An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From getting images from google to saving our trained model for reuse.)

Variational Inference in Gaussian Mixture Model

A collection of various gradient descent algorithms implemented in Python from scratch

"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.

sopt:A simple python optimization library

Core neural networks framework supporting to build multilayer perceptron

CIFAR 10 image dataset

This project shows the area division process in Multi-Agent exploration using Cyclic Gradient Descent and also how Cooperative Perceptional Messages are used in V2V communication to share information among agents in about the environment.

Statistical optimization for AI and machine learning

Code for https://fosterelli.co/executing-gradient-descent-on-the-earth

Visualizing Gradient Descent with Momentum in Python

Minimalistic Multiple Layer Neural Network from Scratch in Python.

This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific tr…

Forest cover type classification/detection using linear support vector machine implemented with gradient descent (from scratch)