9864 Repositories
Python pen-and-paper Libraries
Cvdl-hw2 - Find Contour, Camera Calibration, Augmented Reality and Stereo Disparity Map
opevcvdl-hw2 This project uses openCV and Qt to achieve the requirements. Version Python 3.7 opencv-contrib-python 3.4.2.17 Matplotlib 3.1.1 pyqt5 5.1
House_prices_kaggle - Predict sales prices and practice feature engineering, RFs, and gradient boosting
House Prices - Advanced Regression Techniques Predicting House Prices with Machine Learning This project is build to enhance my knowledge about machin
TinyAPI - 🔹 A fast & easy and lightweight WSGI Framework for Python
TinyAPI - 🔹 A fast & easy and lightweight WSGI Framework for Python
Newsscraper - A simple Python 3 module to get crypto or news articles and their content from various RSS feeds.
NewsScraper A simple Python 3 module to get crypto or news articles and their content from various RSS feeds. 🔧 Installation Clone the repo locally.
Python-Course-V1 - This Repo contains a series of Python Jupyter Notebooks and assignments
This Repo contains a series of Python Jupyter Notebooks and assignments. The assignments are taken from Python Crash Course book by Eric Matthes.
PS3API - PS3 API for TMAPI and CCAPI in python.
PS3API PS3 API for TMAPI and CCAPI in python. Examples Connecting and Attaching from ps3api import PS3API PS3 = PS3API(PS3API.API_TMAPI) if PS3.Conn
Faza - Faza terminal, Faza help to beginners for pen testing
Faza terminal simple tool for pen testers Use small letter only for commands Don't use space after command 'help' for more information Installation gi
Optimizers-visualized - Visualization of different optimizers on local minimas and saddle points.
Optimizers Visualized Visualization of how different optimizers handle mathematical functions for optimization. Contents Installation Usage Functions
Ghdl-interactive-sim - Interactive GHDL simulation of a VHDL adder using Python, Cocotb, and pygame
GHDL Interactive Simulation This is an interactive test bench for a simple VHDL adder. It uses GHDL to elaborate/run the simulation. It is coded in Py
CS5242_2021 - Neural Networks and Deep Learning, NUS CS5242, 2021
CS5242_2021 Neural Networks and Deep Learning, NUS CS5242, 2021 Cloud Machine #1 : Google Colab (Free GPU) Follow this Notebook installation : https:/
VQMIVC - Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion
VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion (Interspeech
ShadowMusic - A Telegram Music Bot with proper functions written in Python with Pyrogram and Py-Tgcalls.
⭐️ Shadow Music ⭐️ A Telegram Music Bot written in Python using Pyrogram and Py-Tgcalls Ready to use method A Support Group, Updates Channel and ready
Jenkins-AWS-CICD - Implement Jenkins CI/CD with AWS CodeBuild and AWS CodeDeploy, build a python flask web application.
Jenkins-AWS-CICD - Implement Jenkins CI/CD with AWS CodeBuild and AWS CodeDeploy, build a python flask web application.
Password-Manager - This app can generate ,save , find and delete passwords.
Password-Manager This app can generate ,save , find and delete passwords. In the StartUp() Function , there are three buttons to choose from : Generat
Product-Review-Summarizer - Created a product review summarizer which clustered thousands of product reviews and summarized them into a maximum of 500 characters, saving precious time of customers and helping them make a wise buying decision.
Product-Review-Summarizer - Created a product review summarizer which clustered thousands of product reviews and summarized them into a maximum of 500 characters, saving precious time of customers and helping them make a wise buying decision.
Generating .npy dataset and labels out of given image, containing numbers from 0 to 9, using opencv
basic-dataset-generator-from-image-of-numbers generating .npy dataset and labels out of given image, containing numbers from 0 to 9, using opencv inpu
Word-Generator - Generates meaningful words from dictionary with given no. of letters and words.
Meaningful Word Generator Generates meaningful words from dictionary with given no. of letters and words. This might be useful for generating short li
CIFAR-10_train-test - training and testing codes for dataset CIFAR-10
CIFAR-10_train-test - training and testing codes for dataset CIFAR-10
Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning
Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning English | 中文 ❗ Now we provide inferencing code and pre-training models
A project consists in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.
TennisBusinessIntelligenceProject - A project consists in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.
Words_And_Phrases - Just a repo for useful words and phrases that might come handy in some scenarios. Feel free to add yours
Words_And_Phrases Just a repo for useful words and phrases that might come handy in some scenarios. Feel free to add yours Abbreviations Abbreviation
Houseprices - Predict sales prices and practice feature engineering, RFs, and gradient boosting
House Prices - Advanced Regression Techniques Predicting House Prices with Machine Learning This project is build to enhance my knowledge about machin
Find-Lane-Line - Use openCV library and Python to detect the road-lane-line
Find-Lane-Line This project is to use openCV library and Python to detect the road-lane-line. Data Pipeline Step one : Color Selection Step two : Cann
Image Processing, Image Smoothing, Edge Detection and Transforms
opevcvdl-hw1 This project uses openCV and Qt to achieve the requirements. Version Python 3.7 opencv-contrib-python 3.4.2.17 Matplotlib 3.1.1 pyqt5 5.1
Statistical Rethinking: A Bayesian Course Using CmdStanPy and Plotnine
Statistical Rethinking: A Bayesian Course Using CmdStanPy and Plotnine Intro This repo contains the python/stan version of the Statistical Rethinking
Deltaspy - an advanced keylogger that can send keylogs and screenshots to gmail
Deltaspy Deltaspy is a advanced keylogger which sends keylogs and screenshot to
Ceaser-Cipher - The Caesar Cipher technique is one of the earliest and simplest method of encryption technique
Ceaser-Cipher The Caesar Cipher technique is one of the earliest and simplest me
City-seeds - A random generator of cultural characteristics intended to spark ideas and help draw threads
City Seeds This is a random generator of cultural characteristics intended to sp
FileGuard - File crypter and packing utility
FILEGUARD FILEGUARD is a file crypter and packing utility. This project was orig
Apriori - An algorithm for frequent item set mining and association rule learning over relational databases
Apriori Apriori is an algorithm for frequent item set mining and association rul
Izy - Python functions and classes that make python even easier than it is
izy Python functions and classes that make it even easier! You will wonder why t
This Scrapy project uses Redis and Kafka to create a distributed on demand scraping cluster
This Scrapy project uses Redis and Kafka to create a distributed on demand scraping cluster.
Hyperopt for solving CIFAR-100 with a convolutional neural network (CNN) built with Keras and TensorFlow, GPU backend
Hyperopt for solving CIFAR-100 with a convolutional neural network (CNN) built with Keras and TensorFlow, GPU backend This project acts as both a tuto
Metrics-advisor - Analyze reshaped metrics from TiDB cluster Prometheus and give some advice about anomalies and correlation.
metrics-advisor Analyze reshaped metrics from TiDB cluster Prometheus and give some advice about anomalies and correlation. Team freedeaths mashenjun
Ukiyo - A simple, minimalist and efficient discord vanity URL sniper
Ukiyo - a simple, minimalist and efficient discord vanity URL sniper. Ukiyo is easy to use, has a very visually pleasing interface, and has great spee
SpecAugmentPyTorch - A Pytorch (support batch and channel) implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
SpecAugment An implementation of SpecAugment for Pytorch How to use Install pytorch, version=1.9.0 (new feature (torch.Tensor.take_along_dim) is used
Fake news detector filters - Smart filter project allow to classify the quality of information and web pages
fake-news-detector-1.0 Lists, lists and more lists... Spam filter list, quality keyword list, stoplist list, top-domains urls list, news agencies webs
Snowfall - helpful image handling utils - abstracts various file and opencv and pil features into result oriented functions
snowfall helpful image handling utils - abstracts various file and opencv and pil features into result oriented functions usage examples: from image_h
Image-Stitching - Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm
About The Project Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm (Random Sample Consensus). Author: Andreas P
Random-Word-Generator - Generates meaningful words from dictionary with given no. of letters and words.
Random Word Generator Generates meaningful words from dictionary with given no. of letters and words. This might be useful for generating short links
Wakatime Response In javascript and python
Project Title Wakatime Response In javascript and python Description just for refrence Getting Started Dependencies For Python: requests json For Java
StringSessionGenerator - A Telegram bot to generate pyrogram and telethon string session
⭐️ String Session Generator ⭐️ Genrate String Session Using this bot. Made by TeamUltronX 🔥 String Session Demo Bot: Environment Variables Mandatory
Instagram_scrapper - This project allow you to scrape the list of followers, following or both from a public Instagram account, and create a csv or excel file easily.
Instagram_scrapper This project allow you to scrape the list of followers, following or both from a public Instagram account, and create a csv or exce
Iris-Heroku - Putting a Machine Learning Model into Production with Flask and Heroku
Puesta en Producción de un modelo de aprendizaje automático con Flask y Heroku L
Covid-19-Trends - A project that me and my friends created as the CSC110 Final Project at UofT
Covid-19-Trends Introduction The COVID-19 pandemic has caused severe financial s
Chronocalc - Calculates the dates and times when the sun or moon is in a given position in the sky
Chronocalc I wrote this script after I was busy updating my article on chronoloc
42-event-notifier - 42 Event notifier using 42API and Github Actions
42 Event Notifier 42서울 Agenda에 새로운 이벤트가 등록되면 알려드립니다! 현재는 Github Issue로 등록되므로 상단
Minimal diffusion models - Minimal code and simple experiments to play with Denoising Diffusion Probabilistic Models (DDPMs)
Minimal code and simple experiments to play with Denoising Diffusion Probabilist
Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible
IMBENS: Class-imbalanced Ensemble Learning in Python Language: English | Chinese/中文 Links: Documentation | Gallery | PyPI | Changelog | Source | Downl
streamlit translator is used to detect and translate between languages created using gTTS, googletrans, pillow and streamlit python packages
Streamlit Translator Streamlit Translator is a simple translator app to detect and translate between languages. Streamlit Translator gets text and lan
AI-generated-characters for Learning and Wellbeing
AI-generated-characters for Learning and Wellbeing Click here for the full project page. This repository contains the source code for the paper AI-gen
Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
PyTorch Lightning + Hydra. A feature-rich template for rapid, scalable and reproducible ML experimentation with best practices. ⚡🔥⚡
Lightning-Hydra-Template A clean and scalable template to kickstart your deep learning project 🚀 ⚡ 🔥 Click on Use this template to initialize new re
PyTorch Implementation of SSTNs for hyperspectral image classifications from the IEEE T-GRS paper "Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A FAS Framework."
PyTorch Implementation of SSTN for Hyperspectral Image Classification Paper links: SSTN published on IEEE T-GRS. Also, you can directly find the imple
The official MegEngine implementation of the ICCV 2021 paper: GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning
[ICCV 2021] GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning This is the official implementation of our ICCV2021 paper GyroFlow. Our pres
The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.
Neural Machine Translation communication system The model is basically direct to convert one source language to another targeted language using encode
Alerts for Western Australian Covid-19 exposure locations via email and Slack
WA Covid Mailer Sends alerts from Healthy WA's Covid19 Exposure Locations via email and slack. Setup Edit the configuration items in wacovidmailer.py
Writing and posting code throughout my new journey into python!
bootleg-productions consider this account to be a journal for me to record my progress throughout my python journey feel free to copy codes from this
Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
This repository contains source code for the experiments in a paper titled Semi-Supervised Learning with Ladder Networks by A Rasmus, H Valpola, M Hon
Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning"
Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning" Getting started Prerequisites CUD
Semi-supevised Semantic Segmentation with High- and Low-level Consistency
Semi-supevised Semantic Segmentation with High- and Low-level Consistency This Pytorch repository contains the code for our work Semi-supervised Seman
Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019
USSS_ICCV19 Code for Universal Semi Supervised Semantic Segmentation accepted to ICCV 2019. Full Paper available at https://arxiv.org/abs/1811.10323.
Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)
Weakly- and Semi-Supervised Panoptic Segmentation by Qizhu Li*, Anurag Arnab*, Philip H.S. Torr This repository demonstrates the weakly supervised gro
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
COResets and Data Subset selection Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order
PyTorch implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose Release Notes The official PyTorch implementation of Neural View S
Implementation of ICLR 2020 paper "Revisiting Self-Training for Neural Sequence Generation"
Self-Training for Neural Sequence Generation This repo includes instructions for running noisy self-training algorithms from the following paper: Revi
PyTorch implementation of the Flow Gaussian Mixture Model (FlowGMM) model from our paper
Flow Gaussian Mixture Model (FlowGMM) This repository contains a PyTorch implementation of the Flow Gaussian Mixture Model (FlowGMM) model from our pa
implementation of the paper "MarginGAN: Adversarial Training in Semi-Supervised Learning"
MarginGAN This repository is the implementation of the paper "MarginGAN: Adversarial Training in Semi-Supervised Learning". 1."preliminary" is the imp
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
Keras implementation of the GNM model in paper ’Graph-Based Semi-Supervised Learning with Nonignorable Nonresponses‘
Graph-based joint model with Nonignorable Missingness (GNM) This is a Keras implementation of the GNM model in paper ’Graph-Based Semi-Supervised Lear
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Semi-supervised Deep Kernel Learning This is the code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data
Scaling and Benchmarking Self-Supervised Visual Representation Learning
FAIR Self-Supervision Benchmark is deprecated. Please see VISSL, a ground-up rewrite of benchmark in PyTorch. FAIR Self-Supervision Benchmark This cod
Joint Unsupervised Learning (JULE) of Deep Representations and Image Clusters.
Joint Unsupervised Learning (JULE) of Deep Representations and Image Clusters. Overview This project is a Torch implementation for our CVPR 2016 paper
Cleaning-utils - a collection of small Python functions and classes which make cleaning pipelines shorter and easier
cleaning-utils [] [] [] cleaning-utils is a collection of small Python functions
Discord-account-generator - Creates Discord accounts and verifies by email & phone verification. Supports proxies. Uses sms-activate, kopeechka and anti captcha
Created in about 4.5 hours discord-account-generator Creates accounts and verifi
Img-process-manual - Utilize Python Numpy and Matplotlib to realize OpenCV baisc image processing function
Img-process-manual - Opencv Library basic graphic processing algorithm coding reproduction based on Numpy and Matplotlib library
PeGuard - Windows PE crypter and packing utility
PEGUARD PEGUARD is a file crypter and packing utility. This project was original
This is a scalable system that reads messages from public Telegram channels using Telethon and stores the data in a PostgreSQL database.
This is a scalable system that reads messages from public Telegram channels using Telethon and stores the data in a PostgreSQL database. Its original intention is to monitor cryptocurrency related channels, but it can be configured to read any Telegram data that is accessible through the API.
Memory-efficient optimum einsum using opt_einsum planning and PyTorch kernels.
opt-einsum-torch There have been many implementations of Einstein's summation. numpy's numpy.einsum is the least efficient one as it only runs in sing
A tool can scrape product in aliexpress: Title, Price, and URL Product.
Scrape-Product-Aliexpress A tool can scrape product in aliexpress: Title, Price, and URL Product. Usage: 1. Install Python 3.8 3.9 padahal halaman ins
Aerospace utilities: flight conditions package, standard atmosphere model, and more.
Aerospace Utilities About Module that contains commonly-used aerospace utilities for problem solving. Flight Condition: input altitude to compute comm
Works very well and you can ask for the type of image you want the scrapper to collect.
Works very well and you can ask for the type of image you want the scrapper to collect. Also follows a specific urls path depending on keyword selection.
Personal implementation of paper "Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval"
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval This repo provides personal implementation of paper Approximate Ne
A minimal and ridiculously good looking command-line-interface toolkit
Proper CLI Proper CLI is a Python package for creating beautiful, composable, and ridiculously good looking command-line-user-interfaces without havin
Ecco is a python library for exploring and explaining Natural Language Processing models using interactive visualizations.
Visualize, analyze, and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
Help you discover excellent English projects and get rid of disturbing by other spoken language
GitHub English Top Charts 「Help you discover excellent English projects and get
CountDown to New Year and shoot fireworks
CountDown and Shoot Fireworks About App This is an small application make you re
Python library to decorate and beautify strings
outputformat Python library to decorate and beautify your standard output 💖 Ins
A simplistic and efficient pure-python neural network library from Phys Whiz with CPU and GPU support.
A simplistic and efficient pure-python neural network library from Phys Whiz with CPU and GPU support.
This is a realtime voice translator program which gets input from user at any language and converts it to the desired language that the user asks
This is a realtime voice translator program which gets input from user at any language and converts it to the desired language that the user asks ...
A unified API wrapper for YouTube and Twitch chat bots.
Chatto A unified API wrapper for YouTube and Twitch chat bots. Contributing Chatto is open to contributions. To find out where to get started, have a
Mixup for Supervision, Semi- and Self-Supervision Learning Toolbox and Benchmark
OpenSelfSup News Downstream tasks now support more methods(Mask RCNN-FPN, RetinaNet, Keypoints RCNN) and more datasets(Cityscapes). 'GaussianBlur' is
Monitor an EnvisaLink alarm module running Honeywell firmware, and set a Nest device to Home/Away depending on whether the alarm is Disarmed/Away.
Nestalarm Monitor an EnvisaLink alarm module running Honeywell firmware, and set a Nest device to Home/Away depending on whether the alarm is Disarmed
Pytorch implementation of the paper "COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking."
Expert-Linking Pytorch implementation of the paper "COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking." This is
Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"
Subg-Con Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning (Jiao et al., ICDM 2020): https://arxiv.org/abs/2009.10273 Over
Minimal implementation and experiments of "No-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging".
No-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging Minimal implementation and experiments of "No-Transaction Band N
A quick reference guide to the most commonly used patterns and functions in PySpark SQL
Using PySpark we can process data from Hadoop HDFS, AWS S3, and many file systems. PySpark also is used to process real-time data using Streaming and
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
ElegantRL “小雅”: Scalable and Elastic Deep Reinforcement Learning ElegantRL is developed for researchers and practitioners with the following advantage
Advanced Signal Processing Notebooks and Tutorials
Advanced Digital Signal Processing Notebooks and Tutorials Prof. Dr. -Ing. Gerald Schuller Jupyter Notebooks and Videos: Renato Profeta Applied Media