66 Repositories
Python NEAT-samples Libraries
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
Google Cloud Vertex AI Samples Welcome to the Google Cloud Vertex AI sample repository. Overview The repository contains notebooks and community conte
Building a real-time environment using webcam frame division in OpenCV and classify cropped images using a fine-tuned vision transformers on hybryd datasets samples for facial emotion recognition.
Visual Transformer for Facial Emotion Recognition (FER) This project has the aim to build an efficient Visual Transformer for the Facial Emotion Recog
Python-samples - This project is to help someone need some practices when learning python language
Python-samples - This project is to help someone need some practices when learning python language
Analysis of Antarctica sequencing samples contaminated with SARS-CoV-2
Analysis of SARS-CoV-2 reads in sequencing of 2018-2019 Antarctica samples in PRJNA692319 The samples analyzed here are described in this preprint, wh
An evolutionary multi-agent platform based on mesa and NEAT
An evolutionary multi-agent platform based on mesa and NEAT
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples
SNCSE SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples This is the repository for SNCSE. SNCSE aims to allev
Generate fine-tuning samples & Fine-tuning the model & Generate samples by transferring Note On
UPMT Generate fine-tuning samples & Fine-tuning the model & Generate samples by transferring Note On See main.py as an example: from model import PopM
PCGNN - Procedural Content Generation with NEAT and Novelty
PCGNN - Procedural Content Generation with NEAT and Novelty Generation Approach — Metrics — Paper — Poster — Examples PCGNN - Procedural Content Gener
A Python library for generating new text from existing samples.
ReMarkov is a Python library for generating text from existing samples using Markov chains. You can use it to customize all sorts of writing from birt
InfiniPy has some neat features - like the endpoint for function
InfiniPy has some neat features - like the endpoint for function
Use stochastic processes to generate samples and use them to train a fully-connected neural network based on Keras
Use stochastic processes to generate samples and use them to train a fully-connected neural network based on Keras which will then be used to generate residuals
A car learns to drive in a small 2D environment using the NEAT-Algorithm with Pygame
Self-driving-car-with-Pygame A car learns to drive in a small 2D environment using the NEAT-Algorithm with Pygame Description A car has 5 sensors ("ey
ProjectOxford-ClientSDK - This repo has moved :house: Visit our website for the latest SDKs & Samples
This project has moved 🏠 We heard your feedback! This repo has been deprecated and each project has moved to a new home in a repo scoped by API and p
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models
Hyperparameter Optimization of Machine Learning Algorithms This code provides a hyper-parameter optimization implementation for machine learning algor
Final project for machine learning (CSC 590). Detection of hepatitis C and progression through blood samples.
Hepatitis C Blood Based Detection Final project for machine learning (CSC 590). Dataset from Kaggle. Using data from previous hepatitis C blood panels
This repository provides a set of easy to understand and tested Python samples for using Acronis Cyber Platform API.
Base Acronis Cyber Platform API operations with Python !!! info Copyright © 2019-2021 Acronis International GmbH. This is distributed under MIT licens
Turn any live video stream or locally stored video into a dataset of interesting samples for ML training, or any other type of analysis.
Sieve Video Data Collection Example Find samples that are interesting within hours of raw video, for free and completely automatically using Sieve API
Python samples for Google Cloud Platform products.
Google Cloud Platform Python Samples Python samples for Google Cloud Platform products. Setup Install pip and virtualenv if you do not already have th
Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples
Welcome to the cuQuantum repository! This public repository contains two sets of files related to the NVIDIA cuQuantum SDK: samples: All C/C++ sample
AWS Glue ETL Code Samples
AWS Glue ETL Code Samples This repository has samples that demonstrate various aspects of the new AWS Glue service, as well as various AWS Glue utilit
The official implementation of the Hybrid Self-Attention NEAT algorithm
PUREPLES - Pure Python Library for ES-HyperNEAT About This is a library of evolutionary algorithms with a focus on neuroevolution, implemented in pure
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
Class-balanced-loss-pytorch Pytorch implementation of the paper Class-Balanced Loss Based on Effective Number of Samples presented at CVPR'19. Yin Cui
This repository is the official implementation of the Hybrid Self-Attention NEAT algorithm.
This repository is the official implementation of the Hybrid Self-Attention NEAT algorithm. It contains the code to reproduce the results presented in the original paper: https://arxiv.org/abs/2112.03670
A way to analyse how malware and/or goodware samples vary from each other using Shannon Entropy, Hausdorff Distance and Jaro-Winkler Distance
A way to analyse how malware and/or goodware samples vary from each other using Shannon Entropy, Hausdorff Distance and Jaro-Winkler Distance
`charts.css.py` brings `charts.css` to Python. Online documentation and samples is available at the link below.
charts.css.py charts.css.py provides a python API to convert your 2-dimension data lists into html snippet, which will be rendered into charts by CSS,
Samples for robotics, node, python, and bash
RaspberryPi Robot Project Technologies: Render: intent Currently designed to act as programmable sentry.
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Class-Balanced Loss Based on Effective Number of Samples Tensorflow code for the paper: Class-Balanced Loss Based on Effective Number of Samples Yin C
Randomisation-based inference in Python based on data resampling and permutation.
Randomisation-based inference in Python based on data resampling and permutation.
The Malware Open-source Threat Intelligence Family dataset contains 3,095 disarmed PE malware samples from 454 families
MOTIF Dataset The Malware Open-source Threat Intelligence Family (MOTIF) dataset contains 3,095 disarmed PE malware samples from 454 families, labeled
A neat little program to read the text from the "All Ten Fingers" program, and write them back.
ATFTyper A neat little program to read the text from the "All Ten Fingers" program, and write them back. How does it work? This program uses the Pillo
DivNoising is an unsupervised denoising method to generate diverse denoised samples for any noisy input image. This repository contains the code to reproduce the results reported in the paper https://openreview.net/pdf?id=agHLCOBM5jP
DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders Mangal Prakash1, Alexander Krull1,2, Florian Jug2 1Authors contribut
Unsupervised clustering of high content screen samples
Microscopium Unsupervised clustering and dataset exploration for high content screens. See microscopium in action Public dataset BBBC021 from the Broa
Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python
FlappyAI Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python Everything Used Genetic Algorithm especially NEAT conce
Self Organising Map (SOM) for clustering of atomistic samples through unsupervised learning.
Self Organising Map for Clustering of Atomistic Samples - V2 Description Self Organising Map (also known as Kohonen Network) implemented in Python for
Buckshot++ is a new algorithm that finds highly stable clusters efficiently.
Buckshot++: An Outlier-Resistant and Scalable Clustering Algorithm. (Inspired by the Buckshot Algorithm.) Here, we introduce a new algorithm, which we
Code for our paper "MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction" published at ICCV 2021.
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction This repository contains the code for the p
Generating a structured library of .wav samples with Python.
sample-library Scripts for generating a structured sample library with Python Requires Docker about Samples are written to wave files in lib/. Differe
🎃 Some spooky code samples to hack yourself a pumpkin 👻
🎃 Tech Or Treat 👻 It's spooky season for those who celebrate Halloween, and to get in the spirit (spirit - get it? 👻 ) we thought it would be fun t
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples This repository is the official implementation of paper [Qimera: Data-free Q
NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
[Official] FINE Samples for Learning with Noisy Labels This repository is the official implementation of "FINE Samples for Learning with Noisy Labels"
A Neat Application To Manage Your To-Do Lists.
WTD - What To Do? A Neat Application To Manage Your To-Do Lists. One folder can only have one to-do file. Running wth without any subcommands executes
Small Python script to parse endlessh's output and print some neat statistics
endlessh_parser endlessh_parser is a small Python script that parses endlessh's output and prints some neat statistics about it Usage Install all the
A collection of neat and practical data science and machine learning projects
Data Science A collection of neat and practical data science and machine learning projects Explore the docs » Report Bug · Request Feature Table of Co
A collection of testing examples using pytest and many other libreris
Effective testing with Python This project was created for PyConEs 2021 Check out the test samples at tests Check out the slides at slides (markdown o
CVPR2020 Counterfactual Samples Synthesizing for Robust VQA
CVPR2020 Counterfactual Samples Synthesizing for Robust VQA This repo contains code for our paper "Counterfactual Samples Synthesizing for Robust Visu
This is a public repo where code samples are stored for the book Practical MLOps.
[Book-2021] Practical MLOps O'Reilly Book
Repo for FUZE project. I will also publish some Linux kernel LPE exploits for various real world kernel vulnerabilities here. the samples are uploaded for education purposes for red and blue teams.
Linux_kernel_exploits Some Linux kernel exploits for various real world kernel vulnerabilities here. More exploits are yet to come. This repo contains
Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018
Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples This project is for the paper "Training Confidence-Calibrated Clas
NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training
NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training
Set of tools to analyze Tinynuke samples
tinynuke-toolset You'll find in that repository a set of tools and scripts I developped to analyze Tinynuke samples. Dll extractor: script used to ext
FireFlyer Record file format, writer and reader for DL training samples.
FFRecord The FFRecord format is a simple format for storing a sequence of binary records developed by HFAiLab, which supports random access and Linux
Learn about Spice.ai with in-depth samples
Samples Learn about Spice.ai with in-depth samples ServerOps - Learn when to run server maintainance during periods of low load Gardener - Intelligent
[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
NEAT: Neural Attention Fields for End-to-End Autonomous Driving Paper | Supplementary | Video | Poster | Blog This repository is for the ICCV 2021 pap
A simple pygame dino game which can also be trained and played by a NEAT KI
Dino Game AI Game The game itself was developed with the Pygame module pip install pygame You can also play it yourself by making the dino jump with t
IMGUR5K handwriting set. It is a handwritten in-the-wild dataset, which contains challenging real world handwritten samples from different writers.The dataset is shared as a set of image urls with annotations. This code downloads the images and verifies the hash to the image to avoid data contamination.
IMGUR5K Handwriting Dataset To run the code for downloading the urls and generate corresponding annotations : Usage: python download_imgur5k.py --data
AI that plays Flappy Bird Game using the python module NEAT.
Flappy Bird AI [NEAT] AI that plays Flappy Bird Game using the python module NEAT. Instructions Install Python Modules: pip3 install -r requirements.t
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of Workflows samples for various use cases
Workflows Samples Workflows allow you to orchestrate and automate Google Cloud and HTTP-based API services with serverless workflows.
Word2Wave: a framework for generating short audio samples from a text prompt using WaveGAN and COALA.
Word2Wave is a simple method for text-controlled GAN audio generation. You can either follow the setup instructions below and use the source code and CLI provided in this repo or you can have a play around in the Colab notebook provided. Note that, in both cases, you will need to train a WaveGAN model first
A Modular MWDB Utility to Collect Fresh Malware Samples
MWDB Feeds A Modular MWDB Utility to Collect Fresh Malware Samples This project is FREE as in FREE 🍺 , use it commercially, privately or however you
PAWS 🐾 Predicting View-Assignments with Support Samples
This repo provides a PyTorch implementation of PAWS (predicting view assignments with support samples), as described in the paper Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples.
Like Dirt-Samples, but cleaned up
Clean-Samples Like Dirt-Samples, but cleaned up, with clear provenance and license info (generally a permissive creative commons licence but check the
Documentation and samples for ArcGIS API for Python
ArcGIS API for Python ArcGIS API for Python is a Python library for working with maps and geospatial data, powered by web GIS. It provides simple and
samples of neat code
NEAT-samples Some samples of code and config files for use with the NEAT-Python package These samples are largely copy and pasted, so if you
Documentation and Samples for the Official HN API
Hacker News API Overview In partnership with Firebase, we're making the public Hacker News data available in near real time. Firebase enables easy acc
Code samples for my book "Neural Networks and Deep Learning"
Code samples for "Neural Networks and Deep Learning" This repository contains code samples for my book on "Neural Networks and Deep Learning". The cod