Implementation of Artificial Neural Networks using NumPy

有空就写点，没空就空着。

A numpy based CNN implementation for classifying images

Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.

Semantic Segmentation using Fully Convolutional Neural Network.

ML Prediction of Bible Topics and Passages (Python / React)

Content from the University of British Columbia's Master of Data Science course DSCI 572.

This repository is MLP implementation of classifier on MNIST dataset with PyTorch

Landcover classification using the fusion of HSI and LiDAR data.

Nebula: Neural Network Benchmarks in C++

Time series prediction using deep learning

Tracking S&P 500 index with deep learning model

MLP implementation in Python with PyTorch for the MNIST-fashion dataset (90+ on test)

Age estimation with PyTorch

Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.

simple virus DNA classification

Stabilized Hierarchical DNN with multiple knockoffs

Linear Regression, Logistic Regression, Fully Connected Neural Network, Recurrent Neural Network, Convolution Neural Network

implementation of neural network from scratch only using numpy (Conv, Fc, Maxpool, optimizers and activation functions)

MNIST handwritten digit classification using PyTorch