TimeSeriesModeling-Apple-Stock-Prediction

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Early stopping for PyTorch

Training neural models with structured signals.

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

Deep learning library in plain Numpy.

:microscope: Nano size Theano LSTM module

[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

repo that holds code for improving on dropout using Stochastic Delta Rule

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)