Sample code from the Neural Networks from Scratch book.

Last update: Dec 31, 2022

Overview

Neural Networks from Scratch (NNFS) book code

Code from the NNFS book (https://nnfs.io) separated by chapter. The NNFS book is written with the Python programming lanauge. If you're interested in seeing this same content, but with 40+ other programming languages, check out: https://github.com/sentdex/nnfsix

Owner

Harrison

GitHub Repository https://nnfs.io

SOTA model in CIFAR10

A PyTorch Implementation of CIFAR Tricks 调研了CIFAR10数据集上各种trick，数据增强，正则化方法，并进行了实现。目前项目告一段落，如果有更好的想法，或者希望一起维护这个项目可以提issue或者在我的主页找到我的联系方式。 0. Requirement

58 Dec 21, 2022

Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data based on Pytorch Framework

VFedPCA+VFedAKPCA This is the official source code for the Paper: Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-

9 Sep 18, 2022

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

Introduction ImagePy is an open source image processing framework written in Python. Its UI interface, image data structure and table data structure a

1.2k Dec 29, 2022

A benchmark dataset for emulating atmospheric radiative transfer in weather and climate models with machine learning (NeurIPS 2021 Datasets and Benchmarks Track)

ClimART - A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models Official PyTorch Implementation Using deep le

21 Dec 31, 2022

Sample code from the Neural Networks from Scratch book.

Related tags

Overview

Neural Networks from Scratch (NNFS) book code

Owner

Harrison

SOTA model in CIFAR10

Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data based on Pytorch Framework

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

PyTorch implementation of SmoothGrad: removing noise by adding noise.

Joint Versus Independent Multiview Hashing for Cross-View Retrieval[J] (IEEE TCYB 2021, PyTorch Code)

Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.

Robust Partial Matching for Person Search in the Wild

GRF: Learning a General Radiance Field for 3D Representation and Rendering

A simple code to convert image format and channel as well as resizing and renaming multiple images.

AutoML library for deep learning

Code for the paper "Balancing Training for Multilingual Neural Machine Translation, ACL 2020"

A Sign Language detection project using Mediapipe landmark detection and Tensorflow LSTM's

Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (Local-Lip)

Code for ACM MM 2020 paper "NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination"

Code to train models from "Paraphrastic Representations at Scale".

A few stylization coreML models that I've trained with CreateML

A library for uncertainty quantification based on PyTorch

MAVE: : A Product Dataset for Multi-source Attribute Value Extraction

Code for paper Novel View Synthesis via Depth-guided Skip Connections

A benchmark dataset for emulating atmospheric radiative transfer in weather and climate models with machine learning (NeurIPS 2021 Datasets and Benchmarks Track)