11894 Repositories
Python PyTorch-trainer-and-model-for-Sequence-Classification Libraries
🌀 Pykka makes it easier to build concurrent applications.
🌀 Pykka Pykka makes it easier to build concurrent applications. Pykka is a Python implementation of the actor model. The actor model introduces some
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
TransPrompt - Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification
TransPrompt This code is implement for our EMNLP 2021's paper 《TransPrompt:Towards an Automatic Transferable Prompting Framework for Few-shot Text Cla
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
A state-of-the-art semi-supervised method for image recognition
Mean teachers are better role models Paper ---- NIPS 2017 poster ---- NIPS 2017 spotlight slides ---- Blog post By Antti Tarvainen, Harri Valpola (The
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
A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks
PixelSSL is a PyTorch-based semi-supervised learning (SSL) codebase for pixel-wise (Pixel) vision tasks. The purpose of this project is to promote the
Learning Saliency Propagation for Semi-supervised Instance Segmentation
Learning Saliency Propagation for Semi-supervised Instance Segmentation PyTorch Implementation This repository contains: the PyTorch implementation of
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
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations The code of: Weakly Supervised Learning of Instance Segmentation with I
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Adversarial Learning for Semi-supervised Semantic Segmentation This repo is the pytorch implementation of the following paper: Adversarial Learning fo
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
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
Deep SAD: A Method for Deep Semi-Supervised Anomaly Detection This repository provides a PyTorch implementation of the Deep SAD method presented in ou
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning
LABES This is the code for EMNLP 2020 paper "A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised L
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
MixText This repo contains codes for the following paper: Jiaao Chen, Zichao Yang, Diyi Yang: MixText: Linguistically-Informed Interpolation of Hidden
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
Neural network sequence labeling model
Sequence labeler This is a neural network sequence labeling system. Given a sequence of tokens, it will learn to assign labels to each token. Can be u
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
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model Baris Gecer 1, Binod Bhattarai 1
Class-Attentive Diffusion Network for Semi-Supervised Classification [AAAI'21] (official implementation)
Class-Attentive Diffusion Network for Semi-Supervised Classification Official Implementation of AAAI 2021 paper Class-Attentive Diffusion Network for
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
Meta Learning for Semi-Supervised Few-Shot Classification
few-shot-ssl-public Code for paper Meta-Learning for Semi-Supervised Few-Shot Classification. [arxiv] Dependencies cv2 numpy pandas python 2.7 / 3.5+
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
PyTorch implementation for Graph Contrastive Learning with Augmentations
Graph Contrastive Learning with Augmentations PyTorch implementation for Graph Contrastive Learning with Augmentations [poster] [appendix] Yuning You*
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
SimulLR - PyTorch Implementation of SimulLR
PyTorch Implementation of SimulLR There is an interesting work[1] about simultan
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.
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.
In this project, two programs can help you take full agvantage of time on the model training with a remote server
In this project, two programs can help you take full agvantage of time on the model training with a remote server, which can push notification to your phone about the information during model training, like the model indices and unexpected interrupts. Then you can do something in time for your work.
An efficient PyTorch implementation of the evaluation metrics in recommender systems.
recsys_metrics An efficient PyTorch implementation of the evaluation metrics in recommender systems. Overview • Installation • How to use • Benchmark
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 deep GRAph Contrastive rEpresentation learning (GRACE).
GRACE The official PyTorch implementation of deep GRAph Contrastive rEpresentation learning (GRACE). For a thorough resource collection of self-superv
A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling"
SelfGNN A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which will appear in Th
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
An implementation of Deep Graph Infomax (DGI) in PyTorch
DGI Deep Graph Infomax (Veličković et al., ICLR 2019): https://arxiv.org/abs/1809.10341 Overview Here we provide an implementation of Deep Graph Infom
ncnn is a high-performance neural network inference framework optimized for the mobile platform
ncnn ncnn is a high-performance neural network inference computing framework optimized for mobile platforms. ncnn is deeply considerate about deployme
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
PyTorch-based framework for Deep Hedging
PFHedge: Deep Hedging in PyTorch PFHedge is a PyTorch-based framework for Deep Hedging. PFHedge Documentation Neural Network Architecture for Efficien
The official pytorch implementation of ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias Introduction | Updates | Usage | Results&Pretrained Models | Statement | Intr
Official implementation of CATs: Cost Aggregation Transformers for Visual Correspondence NeurIPS'21
CATs: Cost Aggregation Transformers for Visual Correspondence NeurIPS'21 For more information, check out the paper on [arXiv]. Training with different
Pytorch implementation of SELF-ATTENTIVE VAD, ICASSP 2021
SELF-ATTENTIVE VAD: CONTEXT-AWARE DETECTION OF VOICE FROM NOISE (ICASSP 2021) Pytorch implementation of SELF-ATTENTIVE VAD | Paper | Dataset Yong Rae
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation Where we are ? 12.27 目前和原论文仍有1%左右得差距,但已经力压很多SOTA了 ckpt__448_epoch_25.pth mIoU
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
A curated list of awesome Model-Based RL resources
Awesome Model-Based Reinforcement Learning This is a collection of research papers for model-based reinforcement learning (mbrl). And the repository w
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
Python library to decorate and beautify strings
outputformater Python library to decorate and beautify your standard output 💖 I
Exploiting CVE-2021-44228 in Unifi Network Application for remote code execution and more
Log4jUnifi Exploiting CVE-2021-44228 in Unifi Network Application for remote cod
A discord tool to use bugs and exploits
DiscordTool A discord tool to use bugs and exploits Features: send a buggy messa
Rocks vc Userbot: A Telegram Bot Project That's Allow You To Play Audio And Video Music On Telegram Voice Chat Group
⭐️ Rocks VC Userbot ⭐️ Telegram Userbot To Play Audio And Video Song On VC Chat
Python code that get the name and ip address of a computer/laptop
IP Address This is a python code that provides the name and the internet protocol address of the computer. You need to install socket pip install sock
Local File Inclusion Scanner and Exploiter
LFI-Paradise Local File Inclusion Scanner and Exploiter Features 1- Scanner 2- E
Bianace Prediction Pytorch Model
Bianace Prediction Pytorch Model Main Results ETHUSDT from 2021-01-01 00:00:00 t
Blender Game Engine Game Type Templates Logic Bricks (and Python script) based Game Templates for Blender
Blender-Game-Engine-Templates Blender Game Engine Game Type Templates Logic Bric
This project aim to create multi-label classification annotation tool to boost annotation speed and make it more easier.
This project aim to create multi-label classification annotation tool to boost annotation speed and make it more easier.
Slice a single image into multiple pieces and create a dataset from them
OpenCV Image to Dataset Converter Slice a single image of Persian digits into mu
Highlight Translator can help you translate the words quickly and accurately.
Highlight Translator can help you translate the words quickly and accurately. By only highlighting, copying, or screenshoting the content you want to translate anywhere on your computer (ex. PDF, PPT, WORD etc.), the translated results will then be automatically displayed before you.
Generate and Visualize Data Lineage from query history
Tokern Lineage Engine Tokern Lineage Engine is fast and easy to use application to collect, visualize and analyze column-level data lineage in databas
Model synchronization from dbt to Metabase.
dbt-metabase Model synchronization from dbt to Metabase. If dbt is your source of truth for database schemas and you use Metabase as your analytics to
Encode and decode text application
Text Encoder and Decoder Encode and decode text in many ways using this application! Encode in: ASCII85 Base85 Base64 Base32 Base16 Url MD5 Hash SHA-1
Numerical Methods with Python, Numpy and Matplotlib
Numerical Bric-a-Brac Collections of numerical techniques with Python and standard computational packages (Numpy, SciPy, Numba, Matplotlib ...). Diffe
Petpy is an easy-to-use and convenient Python wrapper for the Petfinder API.
Petpy is an easy-to-use and convenient Python wrapper for the Petfinder API. Includes methods for parsing output JSON into pandas DataFrames for easier data analysis
This Jupyter notebook shows one way to implement a simple first-order low-pass filter on sampled data in discrete time.
How to Implement a First-Order Low-Pass Filter in Discrete Time We often teach or learn about filters in continuous time, but then need to implement t
A module to get data about anime characters, news, info, lyrics and more.
Animec A module to get data about anime characters, news, info, lyrics and more. The module scrapes myanimelist to parse requested data. If you wish t
Redis fixtures and fixture factories for Pytest.
Redis fixtures and fixture factories for Pytest.This is a pytest plugin, that enables you to test your code that relies on a running Redis database. It allows you to specify additional fixtures for Redis process and client.
Youtube video downloader and info extractor for python.
tube_dl Tube_dl is a Simple Youtube video downloader for Python. A Modular approach to bypass and download Youtube Videos and Playlist from Youtube us
Finite difference solution of 2D Poisson equation. Can handle Dirichlet, Neumann and mixed boundary conditions.
Poisson-solver-2D Finite difference solution of 2D Poisson equation Current version can handle Dirichlet, Neumann, and mixed (combination of Dirichlet
Plotting and analysis tools for ARTIS simulations
Artistools Artistools is collection of plotting, analysis, and file format conversion tools for the ARTIS radiative transfer code. Installation First
Certificate generating and sending system written in Python.
Certificate Generator & Sender How to use git clone https://github.com/saadhaxxan/Certificate-Generator-Sender.git cd Certificate-Generator-Sender Add
Designed a system that can efficiently sort recyclables and transfer them to corresponding bins using Python, a Raspberry Pi, and Quanser Labs.
System for Sorting and Recycling Containers - Project 3 Table of contents Overview The challenge Screenshot My process Built with Code snippets What I
Python interface to IEX and IEX cloud APIs
Python interface to IEX Cloud Referral Please subscribe to IEX Cloud using this referral code. Getting Started Install Install from pip pip install py
A Python application that simulates the rolling of a dice, randomly picking one of the 6 faces and then displaying it.
dice-roller-app This is an application developed in Python that shuffles between the 6 faces of a dice, using buttons to shuffle and close the applica
Ansible tools for operating and managing fleets of Blinksticks in harmony using the Blinkstick Python library.
Ansible tools for operating and managing fleets of Blinksticks in harmony using the Blinkstick Python library.
HTTP traffic mocking and testing made easy in Python
pook Versatile, expressive and hackable utility library for HTTP traffic mocking and expectations made easy in Python. Heavily inspired by gock. To ge
Discord bot for polls and votes including STV. Supports hiding results and is written with Discord.py
VoteBot Discord voting bot capable of standard polls, as found in many other bots; anonymous polls, where votes are hidden and totals are only display
Python library for loading and using triangular meshes.
Trimesh is a pure Python (2.7-3.4+) library for loading and using triangular meshes with an emphasis on watertight surfaces. The goal of the library i
A library to generate synthetic time series data by easy-to-use factors and generator
timeseries-generator This repository consists of a python packages that generates synthetic time series dataset in a generic way (under /timeseries_ge
ScoutAPM Python Agent. Supports Django, Flask, and many other frameworks.
Scout Python APM Agent Monitor the performance of Python Django apps, Flask apps, and Celery workers with Scout's Python APM Agent. Detailed performan
A Python reference implementation of the CF data model
cfdm A Python reference implementation of the CF data model. References Compliance with FAIR principles Documentation https://ncas-cms.github.io/cfdm
Retrieve and analysis data from SDSS (Sloan Digital Sky Survey)
Author: Behrouz Safari License: MIT sdss A python package for retrieving and analysing data from SDSS (Sloan Digital Sky Survey) Installation Install