HNN: Human (Hollywood) Neural Network

Last update: Dec 21, 2021

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Overview

HNN: Human (Hollywood) Neural Network

Learn the top 1000 actors on IMDB with your very own low cost, highly parallel, CUDAless biological neural network.

Privacy

The only data loaded is jquery, the json file and profile images from IMDB. After that its all in browser localStorage good times.

Train Your Brain

https://madhavajay.github.io/hnn/

Debug Locally

$ python server.py

Owner

Madhava Jay

Stacknostic Open Source Contributor, and Digital Homad.

GitHub Repository

Code from Daniel Lemire, A Better Alternative to Piecewise Linear Time Series Segmentation

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A modular application for performing anomaly detection in networks

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This is the paddle code for SeBoW(Self-Born wiring for neural trees), a kind of neural tree born form a large search space

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HNN: Human (Hollywood) Neural Network

Related tags

Overview

HNN: Human (Hollywood) Neural Network

Privacy

Train Your Brain

Debug Locally

Owner

Madhava Jay

Code from Daniel Lemire, A Better Alternative to Piecewise Linear Time Series Segmentation

PFLD pytorch Implementation

Data cleaning, missing value handle, EDA use in this project

Plotting points that lie on the intersection of the given curves using gradient descent.

Repository providing a wide range of self-supervised pretrained models for computer vision tasks.

FTIR-Deep Learning - FTIR Deep Learning With Python

Malware Analysis Neural Network project.

PyQt6 configuration in yaml format providing the most simple script.

VACA: Designing Variational Graph Autoencoders for Interventional and Counterfactual Queries

Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment

Distilled coarse part of LoFTR adapted for compatibility with TensorRT and embedded divices

A modular application for performing anomaly detection in networks

This is the paddle code for SeBoW(Self-Born wiring for neural trees), a kind of neural tree born form a large search space

The official code for paper "R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling".

A simple version for graphfpn

The first public PyTorch implementation of Attentive Recurrent Comparators

Official code of the paper "Expanding Low-Density Latent Regions for Open-Set Object Detection" (CVPR 2022)

Hooks for VCOCO

An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py

Create UIs for prototyping your machine learning model in 3 minutes