287 Repositories
Python class-activation-maps Libraries
In this program, I generate the strong password from existing password without class using python. The special thing in this program is that is generate very strong password from our existing password. It replaces some elements from password and put another elements in it.
Strong-password-Generator-from-existing-password-using-python In this program, I generate the strong password from existing password without class usi
Example of animated maps in matplotlib + geopandas using entire time series of congressional district maps from UCLA archive. rendered, interactive version below
Example of animated maps in matplotlib + geopandas using entire time series of congressional district maps from UCLA archive. rendered, interactive version below
Generate multifunctional GUIs from classes
magic-class In magicgui you can make simple GUIs from functions. However, we usually have to create GUIs that are composed of several buttons, and eac
Tensorflow 2 implementation of the paper: Learning and Evaluating Representations for Deep One-class Classification published at ICLR 2021
Deep Representation One-class Classification (DROC). This is not an officially supported Google product. Tensorflow 2 implementation of the paper: Lea
ZSL-KG is a general-purpose zero-shot learning framework with a novel transformer graph convolutional network (TrGCN) to learn class representation from common sense knowledge graphs.
ZSL-KG is a general-purpose zero-shot learning framework with a novel transformer graph convolutional network (TrGCN) to learn class representa
multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification,seq2seq,attention,beam search
multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification,seq2seq,attention,beam search
Collection of NLP model explanations and accompanying analysis tools
Thermostat is a large collection of NLP model explanations and accompanying analysis tools. Combines explainability methods from the captum library wi
A Python class for checking the status of an enabled Minecraft server
mcstatus provides an easy way to query Minecraft servers for any information they can expose. It provides three modes of access (query, status and ping), the differences of which are listed below in usage.
Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.
Pytorch-NLU,一个中文文本分类、序列标注工具包,支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.
This is a Django app that uses numerous Google APIs such as reCAPTURE, maps and waypoints
Django project that uses Googles APIs to auto populate fields, display maps and routes for multiple waypoints
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
Class Activation Map methods implemented in Pytorch pip install grad-cam ⭐ Tested on many Common CNN Networks and Vision Transformers. ⭐ Includes smoo
prettymaps - A minimal Python library to draw customized maps from OpenStreetMap data.
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Cross-platform MachO/ObjC Static binary analysis tool & library. class-dump + otool + lipo + more
ktool Static Mach-O binary metadata analysis tool / information dumper pip3 install k2l Development is currently taking place on the @python3.10 branc
Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)
A Unified Objective for Novel Class Discovery This is the official repository for the paper: A Unified Objective for Novel Class Discovery Enrico Fini
Parametric Contrastive Learning (ICCV2021)
Parametric-Contrastive-Learning This repository contains the implementation code for ICCV2021 paper: Parametric Contrastive Learning (https://arxiv.or
This repository are used to give class about AWS
AWSTraining This repository are used to give class about AWS by Marco Antonio Pereira Linkedin: https://www.linkedin.com/in/marcoap To see the types o
Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.
google-maps-at-88-mph The folks maintaining Google Maps regularly update the satellite imagery it serves its users, but outdated versions of the image
Neural network visualization toolkit for tf.keras
Neural network visualization toolkit for tf.keras
This app makes it extremely easy to build Django powered SPA's (Single Page App) or Mobile apps exposing all registration and authentication related functionality as CBV's (Class Base View) and REST (JSON)
Welcome to django-rest-auth Repository is unmaintained at the moment (on pause). More info can be found on this issue page: https://github.com/Tivix/d
Official repository of the paper 'Essentials for Class Incremental Learning'
Essentials for Class Incremental Learning Official repository of the paper 'Essentials for Class Incremental Learning' This Pytorch repository contain
An application that maps an image of a LaTeX math equation to LaTeX code.
Convert images of LaTex math equations into LaTex code.
Implementation of the paper "Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning"
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning This is the implementation of the paper "Self-Promoted Prototype Refinement
The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021
DER.ClassIL.Pytorch This repo is the official implementation of DER: Dynamically Expandable Representation for Class Incremental Learning (CVPR 2021)
FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery (TGRS)
FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery by Ailong Ma, Junjue Wang*, Yanfei Zhon
PyTorch wrapper for Taichi data-oriented class
Stannum PyTorch wrapper for Taichi data-oriented class PRs are welcomed, please see TODOs. Usage from stannum import Tin import torch data_oriented =
Add Chart.js visualizations to your Django admin using a mixin class
django-admincharts Add Chart.js visualizations to your Django admin using a mixin class. Example from django.contrib import admin from .models import
Class to connect to XAMPP MySQL Database
MySQL-DB-Connection-Class Class to connect to XAMPP MySQL Database Basta fazer o download o mysql_connect.py e modificar os parâmetros que quiser. E d
convert a dict-list object from / to a typed object(class instance with type annotation)
objtyping 带类型定义的对象转换器 由来 Python不是强类型语言,开发人员没有给数据定义类型的习惯。这样虽然灵活,但处理复杂业务逻辑的时候却不够方便——缺乏类型检查可能导致很难发现错误,在IDE里编码时也没
A large dataset of 100k Google Satellite and matching Map images, resembling pix2pix's Google Maps dataset.
Larger Google Sat2Map dataset This dataset extends the aerial ⟷ Maps dataset used in pix2pix (Isola et al., CVPR17). The provide script download_sat2m
🗾 Streamlit Component for rendering kepler.gl maps
streamlit-keplergl 🗾 Streamlit Component for rendering kepler.gl maps in a streamlit app. 🎈 Live Demo 🎈 Installation pip install streamlit-keplergl
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data
This repository is the official PyTorch implementation of Meta-Balance. Find the paper on arxiv MetaBalance: High-Performance Neural Networks for Clas
Neighborhood Contrastive Learning for Novel Class Discovery
Neighborhood Contrastive Learning for Novel Class Discovery This repository contains the official implementation of our paper: Neighborhood Contrastiv
OrienMask: Real-time Instance Segmentation with Discriminative Orientation Maps
OrienMask This repository implements the framework OrienMask for real-time instance segmentation. It achieves 34.8 mask AP on COCO test-dev at the spe
Riemannian Convex Potential Maps
Modeling distributions on Riemannian manifolds is a crucial component in understanding non-Euclidean data that arises, e.g., in physics and geology. The budding approaches in this space are limited by representational and computational tradeoffs. We propose and study a class of flows that uses convex potentials from Riemannian optimal transport. These are universal and can model distributions on any compact Riemannian manifold without requiring domain knowledge of the manifold to be integrated into the architecture. We demonstrate that these flows can model standard distributions on spheres, and tori, on synthetic and geological data.
Scientific color maps and standardization tools
Scicomap is a package that provides scientific color maps and tools to standardize your favourite color maps if you don't like the built-in ones. Scicomap currently provides sequential, bi-sequential, diverging, circular, qualitative and miscellaneous color maps. You can easily draw examples, compare the rendering, see how colorblind people will perceive the color maps. I will illustrate the scicomap capabilities below.
Automatically prepare your Minecraft maps for release
map-prepare Automatically prepare Mineraft map for release. Current state: kinda works Make sure you have backups for your world before running this p
A tool for the creation of rooms used in maps in the game Wastelands
Wastelands Room Data editor A tool for the creation of rooms used in maps in the game Wastelands Creates .wrd files, that get loaded by the map genera
Neural Surface Maps
Neural Surface Maps Official implementation of Neural Surface Maps - Luca Morreale, Noam Aigerman, Vladimir Kim, Niloy J. Mitra [Paper] [Project Page]
Python Implementation of ``Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT'' (Findings of ACL: ACL 2021)
BERT-for-Surprisal Python Implementation of ``Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT'' (Findings
Code for weakly supervised segmentation of a single class
SingleClassRL Implementation of weak single object segmentation from paper "Regularized Loss for Weakly Supervised Single Class Semantic Segmentation"
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space Introduction: Environment: Python3.6.5, PyTorch1.5.0 Dataset: CIFAR-10, Image
The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020.
DS3L This is the code for paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020. Setups The code is implem
Deep functional residue identification
DeepFRI Deep functional residue identification Citing @article {Gligorijevic2019, author = {Gligorijevic, Vladimir and Renfrew, P. Douglas and Koscio
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
ActNN : Activation Compressed Training This is the official project repository for ActNN: Reducing Training Memory Footprint via 2-Bit Activation Comp
Deep Compression for Dense Point Cloud Maps.
DEPOCO This repository implements the algorithms described in our paper Deep Compression for Dense Point Cloud Maps. How to get started (using Docker)
My sister is a GR of her class. She had to mark attendance of students from screenshots of teams meeting on an excel sheet. I resolved her problem by reading names from screenshots using PyTesseract and marking them present on the excel using Pandas in Python. It took me 1hr to write the code and it is saving half an hour everyday.
auto-team-attandance Don't judge the code, this is not the best way to write code. I was learning tkinter that is why GUI is bad. Here's the Mega link
Predicting Semantic Map Representations from Images with Pyramid Occupancy Networks
This is the code associated with the paper Predicting Semantic Map Representations from Images with Pyramid Occupancy Networks, published at CVPR 2020.
Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
Fast and Flexible Temporal Point Processes with Triangular Maps This repository includes a reference implementation of the algorithms described in "Fa
Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps
Range Image-based 3D LiDAR Localization This repo contains the code for our ICRA2021 paper: Range Image-based LiDAR Localization for Autonomous Vehicl
Reimplementation of the paper `Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (ACL2020)`
Human Attention for Text Classification Re-implementation of the paper Human Attention Maps for Text Classification: Do Humans and Neural Networks Foc
Official Repsoitory for "Activate or Not: Learning Customized Activation." [CVPR 2021]
CVPR 2021 | Activate or Not: Learning Customized Activation. This repository contains the official Pytorch implementation of the paper Activate or Not
Neural style transfer as a class in PyTorch
pt-styletransfer Neural style transfer as a class in PyTorch Based on: https://github.com/alexis-jacq/Pytorch-Tutorials Adds: StyleTransferNet as a cl
Easily convert matplotlib plots from Python into interactive Leaflet web maps.
mplleaflet mplleaflet is a Python library that converts a matplotlib plot into a webpage containing a pannable, zoomable Leaflet map. It can also embe
Python Data. Leaflet.js Maps.
folium Python Data, Leaflet.js Maps folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js
Interactive Maps with Geopandas
Create Interactive maps 🗺️ with your geodataframe Geopatra extends geopandas for interactive mapping and attempts to wrap the goodness of amazing map
Solving the Traveling Salesman Problem using Self-Organizing Maps
Solving the Traveling Salesman Problem using Self-Organizing Maps This repository contains an implementation of a Self Organizing Map that can be used
OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.
OSMnx OSMnx is a Python package that lets you download geospatial data from OpenStreetMap and model, project, visualize, and analyze real-world street
Spatial Action Maps for Mobile Manipulation (RSS 2020)
spatial-action-maps Update: Please see our new spatial-intention-maps repository, which extends this work to multi-agent settings. It contains many ne
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters
Somoclu Somoclu is a massively parallel implementation of self-organizing maps. It exploits multicore CPUs, it is able to rely on MPI for distributing
python toolbox for visualizing geographical data and making maps
geoplotlib is a python toolbox for visualizing geographical data and making maps data = read_csv('data/bus.csv') geoplotlib.dot(data) geoplotlib.show(
Google maps for Jupyter notebooks
gmaps gmaps is a plugin for including interactive Google maps in the IPython Notebook. Let's plot a heatmap of taxi pickups in San Francisco: import g
Python Data. Leaflet.js Maps.
folium Python Data, Leaflet.js Maps folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js
Spatial Intention Maps for Multi-Agent Mobile Manipulation (ICRA 2021)
spatial-intention-maps This code release accompanies the following paper: Spatial Intention Maps for Multi-Agent Mobile Manipulation Jimmy Wu, Xingyua
PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"
IIM - Crowd Localization This repo is the official implementation of paper: Learning Independent Instance Maps for Crowd Localization. The code is dev
uMap lets you create maps with OpenStreetMap layers in a minute and embed them in your site.
uMap project About uMap lets you create maps with OpenStreetMap layers in a minute and embed them in your site. Because we think that the more OSM wil
Image augmentation for machine learning experiments.
imgaug This python library helps you with augmenting images for your machine learning projects. It converts a set of input images into a new, much lar
ThunderSVM: A Fast SVM Library on GPUs and CPUs
What's new We have recently released ThunderGBM, a fast GBDT and Random Forest library on GPUs. add scikit-learn interface, see here Overview The miss
A simple scheduler tool that provides desktop notifications about classes and opens their meet links in the browser automatically at the start of the class.
This application provides desktop notifications about classes and opens their meet links in browser automatically at the start of the class.
A Python class for controlling the Pimoroni RGB Keypad for Raspberry Pi Pico
rgbkeypad A Python class for controlling the Pimoroni RGB Keypad for the Raspberry Pi Pico. Compatible with MicroPython and CircuitPython. keypad = RG
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
SeaLion is designed to teach today's aspiring ml-engineers the popular machine learning concepts of today in a way that gives both intuition and ways of application. We do this through concise algorithms that do the job in the least jargon possible and examples to guide you through every step of the way.
MiniJVM is simple java virtual machine written by python language, it can load class file from file system and run it.
MiniJVM MiniJVM是一款使用python编写的简易JVM,能够从本地加载class文件并且执行绝大多数指令。 支持的功能 1.从本地磁盘加载class并解析 2.支持绝大多数指令集的执行 3.支持虚拟机内存分区以及对象的创建 4.支持方法的调用和参数传递 5.支持静态代码块的初始化 不支
Making text a first-class citizen in TensorFlow.
TensorFlow Text - Text processing in Tensorflow IMPORTANT: When installing TF Text with pip install, please note the version of TensorFlow you are run
Making text a first-class citizen in TensorFlow.
TensorFlow Text - Text processing in Tensorflow IMPORTANT: When installing TF Text with pip install, please note the version of TensorFlow you are run
ThunderSVM: A Fast SVM Library on GPUs and CPUs
What's new We have recently released ThunderGBM, a fast GBDT and Random Forest library on GPUs. add scikit-learn interface, see here Overview The miss
A tool for measuring Python class cohesion.
Cohesion Cohesion is a tool for measuring Python class cohesion. In computer programming, cohesion refers to the degree to which the elements of a mod
A pandas-like deferred expression system, with first-class SQL support
Ibis: Python data analysis framework for Hadoop and SQL engines Service Status Documentation Conda packages PyPI Azure Coverage Ibis is a toolbox to b
Reusable, generic mixins for Django
django-braces Mixins for Django's class-based views. Documentation Read The Docs Installation Install from PyPI with pip: pip install django-braces Bu
Django's class-based generic views are awesome, let's have more of them.
Django Extra Views - The missing class-based generic views for Django Django-extra-views is a Django package which introduces additional class-based v
Python client library for Google Maps API Web Services
Python Client for Google Maps Services Description Use Python? Want to geocode something? Looking for directions? Maybe matrices of directions? This l
Image morphing without reference points by applying warp maps and optimizing over them.
Differentiable Morphing Image morphing without reference points by applying warp maps and optimizing over them. Differentiable Morphing is machine lea
WebLogic T3/IIOP RCE ExternalizableHelper.class of coherence.jar
CVE-2020-14756 WebLogic T3/IIOP RCE ExternalizableHelper.class of coherence.jar README project base on https://github.com/Y4er/CVE-2020-2555 and weblo
A simple, immutable URL class with a clean API for interrogation and manipulation.
purl - A simple Python URL class A simple, immutable URL class with a clean API for interrogation and manipulation. Supports Pythons 2.7, 3.3, 3.4, 3.
Multi-class confusion matrix library in Python
Table of contents Overview Installation Usage Document Try PyCM in Your Browser Issues & Bug Reports Todo Outputs Dependencies Contribution References
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters
Somoclu Somoclu is a massively parallel implementation of self-organizing maps. It exploits multicore CPUs, it is able to rely on MPI for distributing
UNMAINTAINED! Renders beautiful SVG maps in Python.
Kartograph is not maintained anymore As you probably already guessed from the commit history in this repo, Kartograph.py is not maintained, which mean
Python money class with optional CLDR-backed locale-aware formatting and an extensible currency exchange solution.
Python Money Money class with optional CLDR-backed locale-aware formatting and an extensible currency exchange solution. This is version 1.4.0-dev. De
Cartopy - a cartographic python library with matplotlib support
Cartopy is a Python package designed to make drawing maps for data analysis and visualisation easy. Table of contents Overview Get in touch License an