3303 Repositories
Python character-based-model Libraries
3X Fast Telethon Based Bot
📺 YouTube Song Downloader Bot For Telegram 🔮 3X Fast Telethon Based Bot ⚜ Easy To Deploy 🤗
Standard mutable string (character array) implementation for Python.
chararray A standard mutable character array implementation for Python.
DOP-Tuning(Domain-Oriented Prefix-tuning model)
DOP-Tuning DOP-Tuning(Domain-Oriented Prefix-tuning model)代码基于Prefix-Tuning改进. Files ├── seq2seq # Code for encoder-decoder arch
Interactive Visualization to empower domain experts to align ML model behaviors with their knowledge.
An interactive visualization system designed to helps domain experts responsibly edit Generalized Additive Models (GAMs). For more information, check
Suite of 500 procedurally-generated NLP tasks to study language model adaptability
TaskBench500 The TaskBench500 dataset and code for generating tasks. Data The TaskBench dataset is available under wget http://web.mit.edu/bzl/www/Tas
Implementation of paper "Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal"
Patch-wise Adversarial Removal Implementation of paper "Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion This repo intends to release code for our work: Zhaoyang Lyu*, Zhifeng
A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characteristics, sequence features, and user profiles.
CCasGNN A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characteristics,
RaceBERT -- A transformer based model to predict race and ethnicty from names
RaceBERT -- A transformer based model to predict race and ethnicty from names Installation pip install racebert Using a virtual environment is highly
BrainGNN - A deep learning model for data-driven discovery of functional connectivity
A deep learning model for data-driven discovery of functional connectivity https://doi.org/10.3390/a14030075 Usman Mahmood, Zengin Fu, Vince D. Calhou
Python implementation of ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images, AAAI2022.
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images Binh M. Le & Simon S. Woo, "ADD:
Pretrained Cost Model for Distributed Constraint Optimization Problems
Pretrained Cost Model for Distributed Constraint Optimization Problems Requirements PyTorch 1.9.0 PyTorch Geometric 1.7.1 Directory structure baseline
A simple Tornado based framework designed to accelerate web service development
Toto Toto is a small framework intended to accelerate web service development. It is built on top of Tornado and can currently use MySQL, MongoDB, Pos
A gui-script-editor(Based on pyqt5, pyautogui) to writing your gui script.
gui-script-editor A gui-script-editor(Based on pyqt5, pyautogui) to writing your gui script. ##更新说明 版本号:1.0.0 版本说明:实现了脚本编辑器雏形,未实现执行报告,自动化脚本管理(只支持单个脚本运
A community based economy bot with python works only with python 3.7.8 as web3 requires cytoolz
A community based economy bot with python works only with python 3.7.8 as web3 requires cytoolz has some issues building with python 3.10
Suite of 500 procedurally-generated NLP tasks to study language model adaptability
TaskBench500 The TaskBench500 dataset and code for generating tasks. Data The TaskBench dataset is available under wget http://web.mit.edu/bzl/www/Tas
Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks
Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks Work accepted at NeurIPS'21 [paper, video]. If you use this code in
[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
COCO-LM This repository contains the scripts for fine-tuning COCO-LM pretrained models on GLUE and SQuAD 2.0 benchmarks. Paper: COCO-LM: Correcting an
A Python r2pipe script to automatically create a Frida hook to intercept TLS traffic for Flutter based apps
boring-flutter A Python r2pipe script to automatically create a Frida hook to intercept TLS traffic for Flutter based apps. Currently only supporting
Plot-configurations for scientific publications, purely based on matplotlib
TUEplots Plot-configurations for scientific publications, purely based on matplotlib. Usage Please have a look at the examples in the example/ directo
PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)
OCT-GAN: Neural ODE-based Conditional Tabular GANs (OCT-GAN) Code for reproducing the experiments in the paper: Jayoung Kim*, Jinsung Jeon*, Jaehoon L
Simple Python project using Opencv and datetime package to recognise faces and log attendance data in a csv file.
Attendance-System-based-on-Facial-recognition-Attendance-data-stored-in-csv-file- Simple Python project using Opencv and datetime package to recognise
Correcting typos in a word based on the frequency dictionary
Auto-correct text Correcting typos in a word based on the frequency dictionary. This algorithm is based on the distance between words according to the
A web RTSP play platform based on websocket and tornado, websocket use blob binaryType read as ArrayBuffer
A web RTSP play platform based on websocket and tornado, websocket use blob binaryType read as ArrayBuffer
Become a virtual character with just your webcam!
Become a virtual character with just your webcam!
A simple and lightweight genetic algorithm for optimization of any machine learning model
geneticml This package contains a simple and lightweight genetic algorithm for optimization of any machine learning model. Installation Use pip to ins
A simple Python library that allows you to customize your CLI based output on Linux
Terminal-Colored-Print About A small module that allows to simply decorate strings on Linux terminals. I personally use it for multi-threaded project,
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Deep Q&A Table of Contents Presentation Installation Running Chatbot Web interface Results Pretrained model Improvements Upgrade Presentation This wor
Tensorflow implementation of Character-Aware Neural Language Models.
Character-Aware Neural Language Models Tensorflow implementation of Character-Aware Neural Language Models. The original code of author can be found h
A Tensorfflow implementation of Attend, Infer, Repeat
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models This is an unofficial Tensorflow implementation of Attend, Infear, Repeat (AIR)
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
Sarus published models Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are
Local server that gives you your OAuth 2.0 tokens needed to interact with the Conta Azul's API
What's this? This is a django project meant to be run locally that gives you your OAuth 2.0 tokens needed to interact with Conta Azul's API Prerequisi
Defending against Model Stealing via Verifying Embedded External Features
Defending against Model Stealing Attacks via Verifying Embedded External Features This is the official implementation of our paper Defending against M
Scratch2py or S2py is a easy to use, versatile tool to communicate with the Scratch API Based of Scratch2py
Scratch2py Scratch2py or S2py is a easy to use, versatile tool to communicate with the Scratch API Based of Scratch2py Installation Run this command i
Unofficial Implementation of MLP-Mixer, Image Classification Model
MLP-Mixer Unoffical Implementation of MLP-Mixer, easy to use with terminal. Train and test easly. https://arxiv.org/abs/2105.01601 MLP-Mixer is an arc
Simple python crypto bot to trade crypto on Binance based on RSI. Utilizing web sockets to get real-time prices
Py Crypto Bot Using Binance WebSocket API to get real-time price data for cryptocurrencies. Using the TA-Lib library to calculate the RSI and execute
A file-based quote bot written in Python
Let's Write a Python Quote Bot! This repository will get you started with building a quote bot in Python. It's meant to be used along with the Learnin
SLAMP: Stochastic Latent Appearance and Motion Prediction
SLAMP: Stochastic Latent Appearance and Motion Prediction Official implementation of the paper SLAMP: Stochastic Latent Appearance and Motion Predicti
A PaddlePaddle implementation of STGCN with a few modifications in the model architecture in order to forecast traffic jam.
About This repository contains the code of a PaddlePaddle implementation of STGCN based on the paper Spatio-Temporal Graph Convolutional Networks: A D
Python based YouTube video Downloader GUI Application.
Youtube video Downloader Python based Youtube video Downloader GUI Application. Installation Python Dependencies Import pytube pip install pytube Im
Code for "My(o) Armband Leaks Passwords: An EMG and IMU Based Keylogging Side-Channel Attack" paper
Myo Keylogging This is the source code for our paper My(o) Armband Leaks Passwords: An EMG and IMU Based Keylogging Side-Channel Attack by Matthias Ga
This is Official implementation for "Pose-guided Feature Disentangling for Occluded Person Re-Identification Based on Transformer" in AAAI2022
PFD:Pose-guided Feature Disentangling for Occluded Person Re-identification based on Transformer This repo is the official implementation of "Pose-gui
BERTMap: A BERT-Based Ontology Alignment System
BERTMap: A BERT-based Ontology Alignment System Important Notices The relevant paper was accepted in AAAI-2022. Arxiv version is available at: https:/
The Codebase for Causal Distillation for Language Models.
Causal Distillation for Language Models Zhengxuan Wu*,Atticus Geiger*, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D.
A new play-and-plug method of controlling an existing generative model with conditioning attributes and their compositions.
Controllable and Compositional Generation with Latent-Space Energy-Based Models Official PyTorch implementation of the NeurIPS 2021 paper: Controllabl
Simple bots or Simbots is a library designed to create simple bots using the power of python. This library utilises Intent, Entity, Relation and Context model to create bots .
Simple bots or Simbots is a library designed to create simple chat bots using the power of python. This library utilises Intent, Entity, Relation and
Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch
Rewrite ultralytics/yolov5 v6.0 opencv inference code based on numpy, no need to rely on pytorch; pre-processing and post-processing using numpy instead of pytroch.
Convert ONNX model graph to Keras model format.
Convert ONNX model graph to Keras model format.
pubmex.py - a script to get a fancy paper title based on given DOI or PMID
pubmex.py is a script to get a fancy paper title based on given DOI or PMID (can be also combined with macOS Finder)
A GUI Based Figlet Maker
Figlet Creation Create Figlets easily using this application created using PySimpleGUI. Installation Old-school Straight Pip pip install psg-figlet pi
Yas CRNN model training - Yet Another Genshin Impact Scanner
Yas-Train Yet Another Genshin Impact Scanner 又一个原神圣遗物导出器 介绍 该仓库为 Yas 的模型训练程序 相关资料 MobileNetV3 CRNN 使用 假设你会设置基本的pytorch环境。 生成数据集 python main.py gen 训练
Command Line Based Todo Script
Todo-CLI Features Full-Fledged Command Line Based Todo List with the following features planned: Interactive Interface OS Notifications Save and Remov
Confidence Propagation Cluster aims to replace NMS-based methods as a better box fusion framework in 2D/3D Object detection
CP-Cluster Confidence Propagation Cluster aims to replace NMS-based methods as a better box fusion framework in 2D/3D Object detection, Instance Segme
Deep learning model for EEG artifact removal
DeepSeparator Introduction Electroencephalogram (EEG) recordings are often contaminated with artifacts. Various methods have been developed to elimina
Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation
Tiny-NewsRec The source codes for our paper "Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation". Requirements PyTorch == 1.6.0 Tensor
Experiments with the Robust Binary Interval Search (RBIS) algorithm, a Query-Based prediction algorithm for the Online Search problem.
OnlineSearchRBIS Online Search with Best-Price and Query-Based Predictions This is the implementation of the Robust Binary Interval Search (RBIS) algo
Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning. Code will be available soon.
Official-PyTorch-Implementation-of-TransMEF Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fu
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
MEAL-V2 This is the official pytorch implementation of our paper: "MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tric
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
sklearn-evaluation Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis. Suppo
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
AI Fairness 360 (AIF360) The AI Fairness 360 toolkit is an extensible open-source library containg techniques developed by the research community to h
TFIDF-based QA system for AIO2 competition
AIO2 TF-IDF Baseline This is a very simple question answering system, which is developed as a lightweight baseline for AIO2 competition. In the traini
Fast visualization of radar_scenes based on oleschum/radar_scenes
RadarScenes Tools About This python package provides fast visualization for the RadarScenes dataset. The Open GL based visualizer is smoother than ole
Aggressor script that gets the latest commands from CobaltStrikes web site and creates an aggressor script based on tool options.
opsec-aggressor Aggressor script that gets the latest commands from CobaltStrikes opsec page and creates an aggressor script based on tool options. Gr
Modular Python-based Twitch bot optimized for customizability and ease of use.
rasbot Modular Python-based Twitch bot optimized for customizability and ease of use. rasbot is a Python-based Twitch bot that runs on your Twitch acc
An python based Timer and Digital Clock
Python-based-Timer- An python based Timer and Digital Clock How to contribute to this repo ❓ Step 1: Fork the this repository Step 2: Clone your fork
A auto clock-in script based on python3 for BJUTer.
Introduction A auto clock-in script based on python3 for BJUTer. It could clock in at 9:00 a.m everyday. The script is inspired by tsosunchia What can
Out-of-the-box support register, sign in, email verification and password recovery workflows for websites based on Django and MongoDB
Using djmongoauth What is it? djmongoauth provides out-of-the-box support for basic user management and additional operations including user registrat
English dictionary using Django based on freecodecamp
English Dictionary Hi there, i made this english dictionary using Django based on freecodecamp.org tutorial :) Table of Contents Preview Technologies
A Chinese to English Neural Model Translation Project
ZH-EN NMT Chinese to English Neural Machine Translation This project is inspired by Stanford's CS224N NMT Project Dataset used in this project: News C
Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI
Contra AI Engine A lightweight, production ready Tensorflow alternative developed by Styvio styvio.com » How to Use · Report Bug · Request Feature Tab
🔪 Elimination based Lightweight Neural Net with Pretrained Weights
ELimNet ELimNet: Eliminating Layers in a Neural Network Pretrained with Large Dataset for Downstream Task Removed top layers from pretrained Efficient
Brief idea about our project is mentioned in project presentation file.
Brief idea about our project is mentioned in project presentation file. You just have to run attendance.py file in your suitable IDE but we prefer jupyter lab.
Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
Permutation Invariant Graph Generation via Score-Based Generative Modeling This repo contains the official implementation for the paper Permutation In
Implementation of "Adversarial purification with Score-based generative models", ICML 2021
Adversarial Purification with Score-based Generative Models by Jongmin Yoon, Sung Ju Hwang, Juho Lee This repository includes the official PyTorch imp
Noise Conditional Score Networks (NeurIPS 2019, Oral)
Generative Modeling by Estimating Gradients of the Data Distribution This repo contains the official implementation for the NeurIPS 2019 paper Generat
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
Improved Techniques for Training Score-Based Generative Models This repo contains the official implementation for the paper Improved Techniques for Tr
Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Diffusion Probabilistic Models for 3D Point Cloud Generation [Paper] [Code] The official code repository for our CVPR 2021 paper "Diffusion Probabilis
PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling This repository contains the implementation for the paper Diffusion
Website for D2C paper
D2C This is the repository that contains source code for the D2C Website. If you find D2C useful for your work please cite: @article{sinha2021d2c au
Score-Based Point Cloud Denoising (ICCV'21)
Score-Based Point Cloud Denoising (ICCV'21) [Paper] https://arxiv.org/abs/2107.10981 Installation Recommended Environment The code has been tested in
Scalable machine learning based time series forecasting
mlforecast Scalable machine learning based time series forecasting. Install PyPI pip install mlforecast Optional dependencies If you want more functio
A collection of resources and papers on Diffusion Models, a darkhorse in the field of Generative Models
This repository contains a collection of resources and papers on Diffusion Models and Score-based Models. If there are any missing valuable resources
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model
This repository contains the similarity metrics designed and evaluated in the paper, and instructions and code to re-run the experiments. Implementation in the deep-learning framework PyTorch
Neural HMMs are all you need (for high-quality attention-free TTS)
Neural HMMs are all you need (for high-quality attention-free TTS) Shivam Mehta, Éva Székely, Jonas Beskow, and Gustav Eje Henter This is the official
Model-based Reinforcement Learning Improves Autonomous Racing Performance
Racing Dreamer: Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars In this work, we propose to learn a racing contro
Code for EMNLP 2021 paper: "Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training"
SCAPT-ABSA Code for EMNLP2021 paper: "Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training" Overvie
The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021) Arash Vahdat* · Karsten Kreis* ·
Randomisation-based inference in Python based on data resampling and permutation.
Randomisation-based inference in Python based on data resampling and permutation.
A prototype COG-based tile server for sparse Mars datasets
Mars tiler Mars Tiler is a prototype web application that serves tiles from cloud-optimized GeoTIFFs, with an emphasis on supporting planetary dataset
Quick program made to generate alpha and delta tables for Hidden Markov Models
HMM_Calc Functions for generating Alpha and Delta tables from a Hidden Markov Model. Parameters: a: Matrix of transition probabilities. a[i][j] = a_{i
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels
PGDF This repo is the official implementation of our paper "Sample Prior Guided Robust Model Learning to Suppress Noisy Labels ". Citation If you use
Minimalistic generic chess variant GUI using pyffish and PySimpleGUI, based on the PySimpleGUI Chess Demo
FairyFishGUI Minimalistic generic chess variant GUI using pyffish and PySimpleGUI, based on the PySimpleGUI Chess Demo. Supports all chess variants su
Artificial intelligence based on 5-dimensional quantum selection
Deep Thought An artificial intelligence based on 5-dimensional quantum selection. Algorithm The payload Make an random bit array (e.g. 1101...) Conver
Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
Transfer Learning for Text Classification with Tensorflow Tensorflow implementation of Semi-supervised Sequence Learning(https://arxiv.org/abs/1511.01
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
TextWorld A text-based game generator and extensible sandbox learning environment for training and testing reinforcement learning (RL) agents. Also ch
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
Reminder ST-GCN has transferred to MMSkeleton, and keep on developing as an flexible open source toolbox for skeleton-based human understanding. You a
torchbearer: A model fitting library for PyTorch
Note: We're moving to PyTorch Lightning! Read about the move here. From the end of February, torchbearer will no longer be actively maintained. We'll
End-2-end speech synthesis with recurrent neural networks
Introduction New: Interactive demo using Google Colaboratory can be found here TTS-Cube is an end-2-end speech synthesis system that provides a full p
Grow Function: Generate 3D Stacked Bifurcating Double Deep Cellular Automata based organisms which differentiate using a Genetic Algorithm...
Grow Function: A 3D Stacked Bifurcating Double Deep Cellular Automata which differentiates using a Genetic Algorithm... TLDR;High Def Trees that you can mint as NFTs on Solana
Educational 2D SLAM implementation based on ICP and Pose Graph
slam-playground Educational 2D SLAM implementation based on ICP and Pose Graph How to use: Use keyboard arrow keys to navigate robot. Press 'r' to vie