2322 Repositories
Python enformer-tensorflow-sonnet-training-script Libraries
VaccineAlarm is a simple python script that allows user to get notified when their desired vaccine doses are available at vaccine centers near them.
Introduction VaccineAlarm is a simple python script that allows user to get notified when their desired vaccine doses are available at vaccine centers
Code of the paper "Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition"
SEW (Squeezed and Efficient Wav2vec) The repo contains the code of the paper "Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speec
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
The training code for the 4th place model at MDX 2021 leaderboard A.
The training code for the 4th place model at MDX 2021 leaderboard A.
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
Este script añade la config de s4vitar a bspwm automaticamente!
Se ha testeado este script en ParrotOS, Kali y Ubuntu. Funciona para todos los sistemas operativos basados en Debian. Instalación git clone https://gi
IDA Python Script for anti ollvm
IDA Python Script for anti ollvm
ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration
ROSITA News & Updates (24/08/2021) Release the demo to perform fine-grained semantic alignments using the pretrained ROSITA model. (15/08/2021) Releas
Keras attention models including botnet,CoaT,CoAtNet,CMT,cotnet,halonet,resnest,resnext,resnetd,volo,mlp-mixer,resmlp,gmlp,levit
Keras_cv_attention_models Keras_cv_attention_models Usage Basic Usage Layers Model surgery AotNet ResNetD ResNeXt ResNetQ BotNet VOLO ResNeSt HaloNet
Curvlearn, a Tensorflow based non-Euclidean deep learning framework.
English | 简体中文 Why Non-Euclidean Geometry Considering these simple graph structures shown below. Nodes with same color has 2-hop distance whereas 1-ho
Small python script to look for common vulnerabilities on SMTP server.
BrokenSMTP BrokenSMTP is a python3 BugBounty/Pentesting tool to look for common vulnerabilities on SMTP server. Supported Vulnerability : Spoofing - T
Python script to download all images/webms of a 4chan thread
Python3 script to continuously download all images/webms of multiple 4chan thread simultaneously - without installation
Find information about an IP address, such as its location, ISP, hostname, region, country, and city.
Find information about an IP address, such as its location, ISP, hostname, region, country, and city. An IP address can be traced, tracked, and located.
PennyLane is a cross-platform Python library for differentiable programming of quantum computers.
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Ctech Didik Auto Script VPN 👨🏻💻Youtube: Ctech Didik
CTech Didik Auto Script VPN SUPPORT OPERATING SYSTEM Debian GNU/Linux 11 (Bullseye) Debian GNU/Linux 10 (Buster) Debian GNU/Linux 9 (Stretch) Ubuntu S
This is a simple python script to collect sub-domains from hackertarget API
Domain-Scraper 🌐 This is a simple python script to collect sub-domains from hackertarget API Note : This is tool is limited to 20 Queries / day with
Python script to replace BTC adresses in the clipboard with similar looking ones, whose private key can be retrieved by a netcat listener or similar.
BTCStealer Python script to replace BTC adresses in the clipboard with similar looking ones, whose private key can be retrieved by a netcat listener o
A simple script & container to pull COVID data from covidlive.com.au and post a summary to a slack channel
CovidLive AU Summary Slackbot This bot is a very simple slackbot that pulls data, summarises and posts up to date AU COVID stats to a provided slack c
A Blender python script for getting asset browser custom preview images for objects and collections.
asset_snapshot A Blender python script for getting asset browser custom preview images for objects and collections. Installation: Click the code butto
🌌 A Python script to generate blog banners from command line.
Auto Blog Banner Generator A Python script to generate blog banners. This script is used at RavSam. The following image is an example of the blog bann
MoveNetを用いたPythonでの姿勢推定のデモ
MoveNet-Python-Example MoveNetのPythonでの動作サンプルです。 ONNXに変換したモデルも同梱しています。変換自体を試したい方はMoveNet_tf2onnx.ipynbを使用ください。 2021/08/24時点でTensorFlow Hubで提供されている以下モデ
A script to generate the m3u playlist containing direct streamable file (.mpd or MPEG-DASH or DASH) based on the channels that the user has subscribed on the Tata Sky portal. You just have to login using your password or otp that's it .
Tata Sky IPTV Script generator A script to generate the m3u playlist containing direct streamable file (.mpd or MPEG-DASH or DASH) based on the channe
Selene is a Python library and command line interface for training deep neural networks from biological sequence data such as genomes.
Selene is a Python library and command line interface for training deep neural networks from biological sequence data such as genomes.
[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
RoSTER The source code used for Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training, p
script to generate HeN ipfs app exports of GLSL shaders
HeNerator A simple script to generate HeN ipfs app exports from any frag shader created with: GlslViewer GlslEditor The Book of Shaders glslCanvas VS
PPO is a very popular Reinforcement Learning algorithm at present.
PPO is a very popular Reinforcement Learning algorithm at present. OpenAI takes PPO as the current baseline algorithm. We use the PPO algorithm to train a policy to give the best action in any situation.
Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.
Demonstration of OpenVINO techniques - Model-division and a simplest-way to support custom layers Description: Model Optimizer in Intel(r) OpenVINO(tm
Finds snippets in iambic pentameter in English-language text and tries to combine them to a rhyming sonnet.
Sonnet finder Finds snippets in iambic pentameter in English-language text and tries to combine them to a rhyming sonnet. Usage This is a Python scrip
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
Real-ESRGAN Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Ported from https://github.com/xinntao/Real-ESRGAN Depend
UniLM AI - Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities
Pre-trained (foundation) models across tasks (understanding, generation and translation), languages (100+ languages), and modalities (language, image, audio, vision + language, audio + language, etc.)
A python script for hitting the kik API to enumerate people based on a username/userlist
kick3d Recon script for enumerating users off of the Kik API. This script has the ability to check single usernames or run through a userlist of usern
Python scripts form performing stereo depth estimation using the HITNET model in Tensorflow Lite.
TFLite-HITNET-Stereo-depth-estimation Python scripts form performing stereo depth estimation using the HITNET model in Tensorflow Lite. Stereo depth e
Galileo library for large scale graph training by JD
近年来,图计算在搜索、推荐和风控等场景中获得显著的效果,但也面临超大规模异构图训练,与现有的深度学习框架Tensorflow和PyTorch结合等难题。 Galileo(伽利略)是一个图深度学习框架,具备超大规模、易使用、易扩展、高性能、双后端等优点,旨在解决超大规模图算法在工业级场景的落地难题,提
An awesome script to convert the University Of Oviedo web calendar to Google or Outlook calendars.
autoUniCalendar Un script en Python para convertir el calendario de la intranet de la Universidad de Oviedo en un calendario de Outlook o Google Calen
Fully configurable automated python script to collect most visted pages based on google dork
Ranked pages collector Fully configurable automated python script to collect most visted pages based on google dork Usage This project is still under
Optimized code based on M2 for faster image captioning training
Transformer Captioning This repository contains the code for Transformer-based image captioning. Based on meshed-memory-transformer, we further optimi
All Tools In One is a Script Developed with Python3. It gathers a total of 14 Discord tools (including a RAT, a Raid Tool, a Token Grabber, a Crash Video Maker, etc). It has a pleasant and intuitive interface to facilitate the use of all with help and explanations for each of them.
[Discord] - All Tools In One [Discord] - All Tools In One is a Script Gathering for Windows systems written in Python. Disclaimer This project was cre
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
A Python script that allows you to download all of an anime's episodes at once.
BitAnime A Python script that allows you to download all of an anime's episodes at once. · Download executable version · About BitAnime BitAnime is a
Face Mask Detection is a project to determine whether someone is wearing mask or not, using deep neural network.
face-mask-detection Face Mask Detection is a project to determine whether someone is wearing mask or not, using deep neural network. It contains 3 scr
git-partial-submodule is a command-line script for setting up and working with submodules while enabling them to use git's partial clone and sparse checkout features.
Partial Submodules for Git git-partial-submodule is a command-line script for setting up and working with submodules while enabling them to use git's
Esse script procura qualquer, dados que você queira na wikipedia! Em breve traremos um com dados em toda a internet.
Buscador de dados simples Dependências necessárias Para você poder começar a utilizar esta ferramenta, você vai precisar da dependência "wikipedia", p
Turns any script into a telegram bot
pytobot Turns any script into a telegram bot Install pip install --upgrade pytobot Usage Script: while True: message = input() if message == "
Script to post multiple status(posts) on twitter
Script to post multiple status on twitter (i.e. TWITTER STORM) This program can post upto maximum limit of twitter(around 300 tweets) within seconds.
Realtime Face Anti Spoofing with Face Detector based on Deep Learning using Tensorflow/Keras and OpenCV
Realtime Face Anti-Spoofing Detection 🤖 Realtime Face Anti Spoofing Detection with Face Detector to detect real and fake faces Please star this repo
LGVL helper script to batch and convert with lvgl offline image converter
script to batch and convert with lvgl offline image converter
Code and checkpoints for training the transformer-based Table QA models introduced in the paper TAPAS: Weakly Supervised Table Parsing via Pre-training.
End-to-end neural table-text understanding models.
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
Instagram bot that upload images for you which scrape posts from 9gag meme website or other Instagram users , which is 24/7 Automated Runnable.
Autonicgram Automates your Instagram posts by taking images from sites like 9gag or other Instagram accounts and posting it onto your page. Features A
Example scripts for the detection of lanes using the ultra fast lane detection model in Tensorflow Lite.
TFlite Ultra Fast Lane Detection Inference Example scripts for the detection of lanes using the ultra fast lane detection model in Tensorflow Lite. So
Image Captioning using CNN and Transformers
Image-Captioning Keras/Tensorflow Image Captioning application using CNN and Transformer as encoder/decoder. In particulary, the architecture consists
Generate text line images for training deep learning OCR model (e.g. CRNN)
Generate text line images for training deep learning OCR model (e.g. CRNN)
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
Script that allows to download portable installers of different versions Adobe software for macOS
What is this and for what This is a script that allows you to download portable installers of programs from Adobe for macOS with different versions. T
A script to generate the m3u playlist containing direct streamable file (.mpd or MPEG-DASH or DASH) based on the channels that the user has subscribed on the Tata Sky portal. You just have to login using your password or otp that's it .
Tata Sky IPTV Script generator A script to generate the m3u playlist containing direct streamable file (.mpd or MPEG-DASH or DASH) based on the channe
Demonstration of the Model Training as a CI/CD System in Vertex AI
Model Training as a CI/CD System This project demonstrates the machine model training as a CI/CD system in GCP platform. You will see more detailed wo
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
QRec is a Python framework for recommender systems (Supported by Python 3.7.4 and Tensorflow 1.14+) in which a number of influential and newly state-of-the-art recommendation models are implemented. QRec has a lightweight architecture and provides user-friendly interfaces. It can facilitate model implementation and evaluation.
Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.
COTREC Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'. Requirements: Python 3.7, Pytorch 1.6.0 Best Hype
Unofficial Tensorflow-Keras implementation of Fastformer based on paper [Fastformer: Additive Attention Can Be All You Need](https://arxiv.org/abs/2108.09084).
Fastformer-Keras Unofficial Tensorflow-Keras implementation of Fastformer based on paper Fastformer: Additive Attention Can Be All You Need. Tensorflo
pedalboard is a Python library for adding effects to audio.
pedalboard is a Python library for adding effects to audio. It supports a number of common audio effects out of the box, and also allows the use of VST3® and Audio Unit plugin formats for third-party effects.
Python scripts for performing stereo depth estimation using the HITNET Tensorflow model.
HITNET-Stereo-Depth-estimation Python scripts for performing stereo depth estimation using the HITNET Tensorflow model from Google Research. Stereo de
Python script that split PDF files.
Automatic PDF Splitter This script can create new single-page PDFs files from multipaged PDFs. Requirements Python 3.0+ # Debian distros sudo apt-get
GitScanner is a script to make it easy to search for Exposed Git through an advanced Google search.
GitScanner Legal disclaimer Usage of GitScanner for attacking targets without prior mutual consent is illegal. It is the end user's responsibility to
An implementation of Fastformer: Additive Attention Can Be All You Need in TensorFlow
Fast Transformer This repo implements Fastformer: Additive Attention Can Be All You Need by Wu et al. in TensorFlow. Fast Transformer is a Transformer
Mail classification with tensorflow and MS Exchange Server (ham or spam).
Mail classification with tensorflow and MS Exchange Server (ham or spam).
TAPEX: Table Pre-training via Learning a Neural SQL Executor
TAPEX: Table Pre-training via Learning a Neural SQL Executor The official repository which contains the code and pre-trained models for our paper TAPE
A script to generate a profile picture and a banner that show the same image on Discord.
Discord profile picture & banner generator A script to generate a profile picture and a banner that show the same image on Discord. Installation / Upd
Port Traffic/Bandwidth Monitor Script
python-switch-port-traffic-alarm Port Traffic/Bandwidth Monitor Script That's an Switch Port Traffic monitor program is checking the switch uplink por
This script just scrapes the most recent Nepali news from Kathmandu Post and notifies the user about current events at regular intervals.It sends out the most recent news at random!
Nepali-news-notifier This script just scrapes the most recent Nepali news from Kathmandu Post and notifies the user about current events at regular in
um simples script para localizar IP
um simples script para localizar IP pkg install git (apt-get install git) pkg install python (apt-get install python) git clone https://github.com/byd
GraphQL security auditing script with a focus on performing batch GraphQL queries and mutations
BatchQL BatchQL is a GraphQL security auditing script with a focus on performing batch GraphQL queries and mutations. This script is not complex, and
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
Robust Video Matting (RVM) English | 中文 Official repository for the paper Robust High-Resolution Video Matting with Temporal Guidance. RVM is specific
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Megatron (1 and 2) is a large, powerful transformer developed by the Applied Deep Learning Research team at NVIDIA.
A super simple script which uses the GitHub API to convert your markdown files to GitHub styled HTML site.
A super simple script which uses the GitHub API to convert your markdown files to GitHub styled HTML site.
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
CARLA - Counterfactual And Recourse Library CARLA is a python library to benchmark counterfactual explanation and recourse models. It comes out-of-the
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
GSoC'2021 | TensorFlow implementation of Wav2Vec2
GSoC'2021 | TensorFlow implementation of Wav2Vec2
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
WGAN-GP An pytorch implementation of Paper "Improved Training of Wasserstein GANs". Prerequisites Python, NumPy, SciPy, Matplotlib A recent NVIDIA GPU
Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"
Train longer, generalize better - Big batch training This is a code repository used to generate the results appearing in "Train longer, generalize bet
Accelerate Neural Net Training by Progressively Freezing Layers
FreezeOut A simple technique to accelerate neural net training by progressively freezing layers. This repository contains code for the extended abstra
Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
forward-thinking-pytorch Pytorch implementation of Forward Thinking: Building and Training Neural Networks One Layer at a Time Requirements Python 2.7
Unofficial Alias-Free GAN implementation. Based on rosinality's version with expanded training and inference options.
Alias-Free GAN An unofficial version of Alias-Free Generative Adversarial Networks (https://arxiv.org/abs/2106.12423). This repository was heavily bas
Script to use SysWhispers2 direct system calls from Cobalt Strike BOFs
SysWhispers2BOF Script to use SysWhispers2 direct system calls from Cobalt Strike BOFs. Introduction This script was initially created to fix specific
Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
TF Watcher TF Watcher is a simple to use Python package and web app which allows you to monitor 👀 your Machine Learning training or testing process o
[Preprint] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Codes for [Preprint] Bag of Tricks for Training Deeper Graph
Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
Flood Detection Challenge This repository contains code for our submission to the ETCI 2021 Competition on Flood Detection (Winning Solution #2). Acco
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
ST++ This is the official PyTorch implementation of our paper: ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation. Lihe Ya
We present a framework for training multi-modal deep learning models on unlabelled video data by forcing the network to learn invariances to transformations applied to both the audio and video streams.
Multi-Modal Self-Supervision using GDT and StiCa This is an official pytorch implementation of papers: Multi-modal Self-Supervision from Generalized D
PyTorch DepthNet Training on Still Box dataset
DepthNet training on Still Box Project page This code can replicate the results of our paper that was published in UAVg-17. If you use this repo in yo
a simple python script that monitors the binance hotwallet and refunds the withdrawal fee to encourage people to withdraw their Nano and help decentralisation
Nano_Binance_Refund_Bot a simple python script that monitors the binance hotwallet and refunds the withdrawal fee to encourage people to withdraw thei
Guesslang detects the programming language of a given source code
Detect the programming language of a source code
Official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence".
The DETR approach applies the transformer encoder and decoder architecture to object detection and achieves promising performance. In this paper, we handle the critical issue, slow training convergence, and present a conditional cross-attention mechanism for fast DETR training. Our approach is motivated by that the cross-attention in DETR relies highly on the content embeddings and that the spatial embeddings make minor contributions, increasing the need for high-quality content embeddings and thus increasing the training difficulty.
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation (ICCV2021)
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation This is a pytorch project for the paper Dynamic Divide-and-Conquer Ad
Vision-Language Transformer and Query Generation for Referring Segmentation (ICCV 2021)
Vision-Language Transformer and Query Generation for Referring Segmentation Please consider citing our paper in your publications if the project helps
Script de monitoramento de telemetria para missões espaciais, cansat e foguetemodelismo.
Aeroespace_GroundStation Script de monitoramento de telemetria para missões espaciais, cansat e foguetemodelismo. Imagem 1 - Dashboard realizando moni
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
An Image Captioning codebase This is a codebase for image captioning research. It supports: Self critical training from Self-critical Sequence Trainin
Fofa asset consolidation script
资产收集+C段整理二合一 基于fofa资产搜索引擎进行资产收集,快速检索目标条件下的IP,URL以及标题,适用于资产较多时对模糊资产的快速检索,新增C段整理功能,整理出
IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020)
This repo is the official implementation of our paper "Instance Adaptive Self-training for Unsupervised Domain Adaptation". The purpose of this repo is to better communicate with you and respond to your questions. This repo is almost the same with Another-Version, and you can also refer to that version.
Ongoing research training transformer language models at scale, including: BERT & GPT-2
What is this fork of Megatron-LM and Megatron-DeepSpeed This is a detached fork of https://github.com/microsoft/Megatron-DeepSpeed, which in itself is
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering Papers with code | Paper Nikola Zubić Pietro Lio University