9983 Repositories
Python plug-and-play-language-models Libraries
A simple page with paypal payment and confiramtion in django
django-paypal a simple page with paypal payment and confiramtion in django Youtube Video : Paypal Smart Button : https://developer.paypal.com/demo/che
A high-level yet extensible library for fast language model tuning via automatic prompt search
ruPrompts ruPrompts is a high-level yet extensible library for fast language model tuning via automatic prompt search, featuring integration with Hugg
A simple python program which predicts the success of a movie based on it's type, actor, actress and director
Movie-Success-Prediction A simple python program which predicts the success of a movie based on it's type, actor, actress and director. The program us
securedb is a fast and lightweight Python framework to easily interact with JSON-based encrypted databases.
securedb securedb is a Python framework that lets you work with encrypted JSON databases. Features: newkey() to generate an encryption key write(key,
A very terrible python-based programming language that uses folders instead of text files
PYFolders by Lewis L. Foster PYFolders is a very terrible python-based programming language that uses folders instead of regular text files. In this r
Prisma Cloud utility scripts, and a Python SDK for Prisma Cloud APIs.
pcs-toolbox Prisma Cloud utility scripts, and a Python SDK for Prisma Cloud APIs. Table of Contents Support Setup Configuration Script Usage CSPM Scri
This exploit allows to connect to the remote RemoteMouse 3.008 service to virtually press arbitrary keys and execute code on the machine.
RemoteMouse-3.008-Exploit The RemoteMouse application is a program for remotely controlling a computer from a phone or tablet. This exploit allows to
Annotates sequences with Eggnog-mapper and hhblits against PDB70
Annotating "hypothetical" proteins with the PDB See config/ for configuration information. This workflow takes as input a set of protein sequences. It
The repository that hosts the code that teaches a reinforcement learning - based bot to play 2048
The repository that hosts the code that teaches a reinforcement learning - based bot (based on policy gradients method) to play 2048
Code for paper Multitask-Finetuning of Zero-shot Vision-Language Models
Code for paper Multitask-Finetuning of Zero-shot Vision-Language Models
Crazy fast kahoot game flooder with a GUI and multi OS support.
kahoot flooder Crazy fast kahoot game flooder with a GUI and multi OS support. Made in python using tkinter and KahootPY with toast notifications. Req
A simple, fast, and awesome discord nuke bot! The only thing you need to add is your bot token.
SimpleNukeBot A simple, fast, and awesome discord nuke bot! The only thing you need to add is your bot token. Instructions: All you need to do is crea
edgetest is a tox-inspired python library that will loop through your project's dependencies, and check if your project is compatible with the latest version of each dependency
Bleeding edge dependency testing Full Documentation edgetest is a tox-inspired python library that will loop through your project's dependencies, and
This is the Alpha of Nutte language, she is not complete yet / Essa é a Alpha da Nutte language, não está completa ainda
nutte-language This is the Alpha of Nutte language, it is not complete yet / Essa é a Alpha da Nutte language, não está completa ainda My language was
DataShare - Simple library for data sharing between scripts and public functions calling
DataShare - Simple library for data sharing between scripts and public functions calling. Installation. Install code, Delete LICENSE, README, readme.t
It's A ML based Web Site build with python and Django to find the breed of the dog
ML-Based-Dog-Breed-Identifier This is a Django Based Web Site To Identify the Breed of which your DOG belogs All You Need To Do is to Follow These Ste
Working demo of the Multi-class and Anomaly classification model using the CLIP feature space
👁️ Hindsight AI: Crime Classification With Clip About For Educational Purposes Only This is a recursive neural net trained to classify specific crime
A python programusing Tkinter graphics library to randomize questions and answers contained in text files
RaffleOfQuestions Um programa simples em python, utilizando a biblioteca gráfica Tkinter para randomizar perguntas e respostas contidas em arquivos de
Ensembling Off-the-shelf Models for GAN Training
Data-Efficient GANs with DiffAugment project | paper | datasets | video | slides Generated using only 100 images of Obama, grumpy cats, pandas, the Br
This was initially the repo for the project of PSYC626@USC of Asaf Mazar, Millad Kassaie and Georgios Chochlakis named "Powered by the Will? Exploring Lay Theories of Behavior Change through Social Media"
Subreddit Analysis This repo includes tools for Subreddit analysis, originally developed for our class project of PSYC 626 in USC, titled "Powered by
Pytorch modules for paralel models with same architecture. Ideal for multi agent-based systems
WideLinears Pytorch parallel Neural Networks A package of pytorch modules for fast paralellization of separate deep neural networks. Ideal for agent-b
Download YouTube videos/music and images in MP4, JPG with this tool.
ABOUT THE TOOL Download YouTube videos, music and images in MP4, JPG with this tool, with an easy to understand interface. This tool works with both,
Automate the case review on legal case documents and find the most critical cases using network analysis
Automation on Legal Court Cases Review This project is to automate the case review on legal case documents and find the most critical cases using netw
Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.
Graph Notebook: easily query and visualize graphs The graph notebook provides an easy way to interact with graph databases using Jupyter notebooks. Us
Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.
Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
About The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficien
Fit models to your data in Python with Sherpa.
Table of Contents Sherpa License How To Install Sherpa Using Anaconda Using pip Building from source History Release History Sherpa Sherpa is a modeli
Label data using HuggingFace's transformers and automatically get a prediction service
Label Studio for Hugging Face's Transformers Website • Docs • Twitter • Join Slack Community Transfer learning for NLP models by annotating your textu
labsecurity is a framework and its use is for ethical hacking and computer security
labsecurity labsecurity is a framework and its use is for ethical hacking and computer security. Warning This tool is only for educational purpose. If
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
Synchrosqueezing is a powerful reassignment method that focuses time-frequency representations, and allows extraction of instantaneous amplitudes and frequencies
🔍 📊 Look up information about anime, manga and much more directly in Discord!
AniSearch The source code of the AniSearch Discord Bot. Contribute You have an idea or found a bug? Open a new issue with detailed explanation. You wa
Wonkey - an open source programming language for the creation of cross-platform video games
Wonkey Programming Language Wonkey is an open source programming language for the creation of cross-platform video games, highly inspired by the “Blit
A model that attempts to learn and benefit from data collected on card counting.
A model that attempts to learn and benefit from data collected on card counting. A decision tree like model is built to win more often than loose and increase the bet of the player appropriately to come out winning as much money as possible.
Stock market bot that will be used to learn about API calls and database connections.
Stock market bot that will be used to learn about API calls and database connections.
This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.
This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.
This python script will automate the testing for the Log4J vulnerability for HTTP and HTTPS connections.
Log4J-Huntress-Automate-Script This python script will automate the testing for the Log4J vulnerability for HTTP and HTTPS connections. Pre-Requisits
Convert Roman numerals to modern numerals and vice-versa
Roman Numeral Conversion Utilities This is a utility module for converting from and to Roman numerals. It supports numbers upto 3,999,999, using the v
Reaction SMILES-AA mapping via language modelling
rxn-aa-mapper Reactions SMILES-AA sequence mapping setup conda env create -f conda.yml conda activate rxn_aa_mapper In the following we consider on ex
For radiometrically calibrating and PSF deconvolving IRIS data
irispreppy For radiometrically calibrating and PSF deconvolving IRIS data. I dislike how I need to own proprietary software (IDL) just to simply prepa
A CLI Password Manager made using Python and Postgresql database.
ManageMyPasswords (CLI Edition) A CLI Password Manager made using Python and Postgresql database. Quick Start Guide First Clone The Project git clone
Check your bot status automatically using userbot, simply and easy
Status Checker Userbot check your bot status automatically using userbot, simply and easy. Mandatory Vars API_ID : Telegram API_ID, get it from my.tel
A script that automatically creates a branch name using google translation api and jira api
About google translation api와 jira api을 사용하여 자동으로 브랜치 이름을 만들어주는 스크립트 Setup 환경변수에 다음 3가지를 등록해야 한다. JIRA_USER : JIRA email (ex: [email protected]) JIR
Flow is a computational framework for deep RL and control experiments for traffic microsimulation.
Flow Flow is a computational framework for deep RL and control experiments for traffic microsimulation. See our website for more information on the ap
A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization
University1652-Baseline [Paper] [Slide] [Explore Drone-view Data] [Explore Satellite-view Data] [Explore Street-view Data] [Video Sample] [中文介绍] This
A Telegram Bot to generate permanent Stream and Download links for any Telegram file
Telegram File To Stream Link This bot will give you permanent Stream and Download links for Telegram files Deploy the Bot Press the below button to de
Copy a Kubernetes pod and run commands in its environment
copypod Utility for copying a running Kubernetes pod so you can run commands in a copy of its environment, without worrying about it the pod potential
This repository contains the code, models and datasets discussed in our paper "Few-Shot Question Answering by Pretraining Span Selection"
Splinter This repository contains the code, models and datasets discussed in our paper "Few-Shot Question Answering by Pretraining Span Selection", to
Rotary Transformer is an MLM pre-trained language model with rotary position embedding (RoPE)
[中文|English] Rotary Transformer Rotary Transformer is an MLM pre-trained language model with rotary position embedding (RoPE). The RoPE is a relative
Model parallel transformers in JAX and Haiku
Table of contents Mesh Transformer JAX Updates Pretrained Models GPT-J-6B Links Acknowledgments License Model Details Zero-Shot Evaluations Architectu
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
FNet: Mixing Tokens with Fourier Transforms Pytorch implementation of Fnet : Mixing Tokens with Fourier Transforms. Citation: @misc{leethorp2021fnet,
ByT5: Towards a token-free future with pre-trained byte-to-byte models
ByT5: Towards a token-free future with pre-trained byte-to-byte models ByT5 is a tokenizer-free extension of the mT5 model. Instead of using a subword
Code for CodeT5: a new code-aware pre-trained encoder-decoder model.
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation This is the official PyTorch implementation
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
CPT This repository contains code and checkpoints for CPT. CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Gener
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Pretrained Language Model This repository provides the latest pretrained language models and its related optimization techniques developed by Huawei N
FastFormers - highly efficient transformer models for NLU
FastFormers FastFormers provides a set of recipes and methods to achieve highly efficient inference of Transformer models for Natural Language Underst
The code for the Subformer, from the EMNLP 2021 Findings paper: "Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers", by Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo
Subformer This repository contains the code for the Subformer. To help overcome this we propose the Subformer, allowing us to retain performance while
Tools to download and cleanup Common Crawl data
cc_net Tools to download and clean Common Crawl as introduced in our paper CCNet. If you found these resources useful, please consider citing: @inproc
Transcribing audio files using Hugging Face's implementation of Wav2Vec2 + "chain-linking" NLP tasks to combine speech-to-text with downstream tasks like translation and summarisation.
PART 2: CHAIN LINKING AUDIO-TO-TEXT NLP TASKS 2A: TRANSCRIBE-TRANSLATE-SENTIMENT-ANALYSIS In notebook3.0, I demo a simple workflow to: transcribe a lo
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
English | 简体中文 | 繁體中文 | 한국어 State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow 🤗 Transformers provides thousands of pretrained models
Pre-training with Extracted Gap-sentences for Abstractive SUmmarization Sequence-to-sequence models
PEGASUS library Pre-training with Extracted Gap-sentences for Abstractive SUmmarization Sequence-to-sequence models, or PEGASUS, uses self-supervised
LUKE -- Language Understanding with Knowledge-based Embeddings
LUKE (Language Understanding with Knowledge-based Embeddings) is a new pre-trained contextualized representation of words and entities based on transf
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Hiring We are hiring at all levels (including FTE researchers and interns)! If you are interested in working with us on NLP and large-scale pre-traine
Fine-tuning scripts for evaluating transformer-based models on KLEJ benchmark.
The KLEJ Benchmark Baselines The KLEJ benchmark (Kompleksowa Lista Ewaluacji Językowych) is a set of nine evaluation tasks for the Polish language und
Unsupervised Language Model Pre-training for French
FlauBERT and FLUE FlauBERT is a French BERT trained on a very large and heterogeneous French corpus. Models of different sizes are trained using the n
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
Dense Passage Retrieval Dense Passage Retrieval (DPR) - is a set of tools and models for state-of-the-art open-domain Q&A research. It is based on the
The code for two papers: Feedback Transformer and Expire-Span.
transformer-sequential This repo contains the code for two papers: Feedback Transformer Expire-Span The training code is structured for long sequentia
Few-shot Natural Language Generation for Task-Oriented Dialog
Few-shot Natural Language Generation for Task-Oriented Dialog This repository contains the dataset, source code and trained model for the following pa
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
Introduction Funnel-Transformer is a new self-attention model that gradually compresses the sequence of hidden states to a shorter one and hence reduc
DeLighT: Very Deep and Light-Weight Transformers
DeLighT: Very Deep and Light-weight Transformers This repository contains the source code of our work on building efficient sequence models: DeFINE (I
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
DeBERTa: Decoding-enhanced BERT with Disentangled Attention This repository is the official implementation of DeBERTa: Decoding-enhanced BERT with Dis
CodeBERT: A Pre-Trained Model for Programming and Natural Languages.
CodeBERT This repo provides the code for reproducing the experiments in CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CodeBERT
Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"
This repository contains code for the following two papers: VisualBERT: A Simple and Performant Baseline for Vision and Language (arxiv) with a short
This repository contains the code for running the character-level Sandwich Transformers from our ACL 2020 paper on Improving Transformer Models by Reordering their Sublayers.
Improving Transformer Models by Reordering their Sublayers This repository contains the code for running the character-level Sandwich Transformers fro
The entmax mapping and its loss, a family of sparse softmax alternatives.
entmax This package provides a pytorch implementation of entmax and entmax losses: a sparse family of probability mappings and corresponding loss func
PG-19 Language Modelling Benchmark
PG-19 Language Modelling Benchmark This repository contains the PG-19 language modeling benchmark. It includes a set of books extracted from the Proje
Conditional Transformer Language Model for Controllable Generation
CTRL - A Conditional Transformer Language Model for Controllable Generation Authors: Nitish Shirish Keskar, Bryan McCann, Lav Varshney, Caiming Xiong,
Multi Task Vision and Language
12-in-1: Multi-Task Vision and Language Representation Learning Please cite the following if you use this code. Code and pre-trained models for 12-in-
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
ALBERT ***************New March 28, 2020 *************** Add a colab tutorial to run fine-tuning for GLUE datasets. ***************New January 7, 2020
Code for the paper "Language Models are Unsupervised Multitask Learners"
Status: Archive (code is provided as-is, no updates expected) gpt-2 Code and models from the paper "Language Models are Unsupervised Multitask Learner
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Tensor2Tensor Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and ac
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
GPT Neo 🎉 1T or bust my dudes 🎉 An implementation of model & data parallel GPT3-like models using the mesh-tensorflow library. If you're just here t
Awesome Treasure of Transformers Models Collection
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
Program that shows all the details of the given IP address. Build with Python and ipinfo.io API
ip-details This is a program that shows all the details of the given IP address. Build with Python and ipinfo.io API Usage To use this program, run th
Get realtime updates in your mobile/web app from frappe and erpnext
Fsocket Extend frappe's websocket server using socket.io and redis Installation Use frappe bench to add fsocket in your project $ bench get-app https:
Infrastructure template and Jupyter notebooks for running RoseTTAFold on AWS Batch.
AWS RoseTTAFold Infrastructure template and Jupyter notebooks for running RoseTTAFold on AWS Batch. Overview Proteins are large biomolecules that play
Provides script to download and format public IP lists related to the Log4j exploit.
Provides script to download and format public IP lists related to the Log4j exploit. Current format includes: plain list, Cisco ASA Network Group.
Simpliest django(uvicorn)+postgresql+nginx docker-compose (ready for production and dev)
simpliest django(uvicorn)+postgresql+nginx docker-compose (ready for production and dev) To run in production: docker-compose up -d Site available on
Using VapourSynth with super resolution models and speeding them up with TensorRT.
VSGAN-tensorrt-docker Using image super resolution models with vapoursynth and speeding them up with TensorRT. Using NVIDIA/Torch-TensorRT combined wi
A collection and example code of every topic you need to know about in the basics of Python.
The Python Beginners Guide: Master The Python Basics Tonight This guide is a collection of every topic you need to know about in the basics of Python.
Make your MacOS keyboard brightness fade in and out
Make your MacOS keyboard brightness fade in and out. (It's working depends on the Kbrightness file, which only works for 2015 Macs, so this will only work on 2015 Macs.)
Travis CI testing a Dockerfile based on Palantir's remix of Apache Cassandra, testing IaC, and testing integration health of Debian
Testing Palantir's remix of Apache Cassandra with Snyk & Travis CI This repository is to show Travis CI testing a Dockerfile based on Palantir's remix
A Bot, which observes your counting-abilities and controls your drinking-habits, too!
Discord Counting Bot with Beer-Counter Heavily inspired by AlexVerricos Counting_bot, but adjusted a lot for the beer drinking habits of students. Inv
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation (ACM MM 2020)
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation (ACM MM 2020) Official implementation of: Forest R-CNN: Large-Vo
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning Tensorflow code and models for the paper: Large Scale Fine-Grained Categ
[WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"
DRAGON: From Generalized zero-shot learning to long-tail with class descriptors Paper Project Website Video Overview DRAGON learns to correct the bias
Face and Body Tracking for VRM 3D models on the web.
Kalidoface 3D - Face and Full-Body tracking for Vtubing on the web! A sequal to Kalidoface which supports Live2D avatars, Kalidoface 3D is a web app t
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
Notice: Support for Python 3.6 will be dropped in v.0.2.1, please plan accordingly! Efficient and Scalable Physics-Informed Deep Learning Collocation-
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
PyDEns PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks. With PyDEns one can solve PD
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
NeuralPDE NeuralPDE.jl is a solver package which consists of neural network solvers for partial differential equations using scientific machine learni
Sparse Physics-based and Interpretable Neural Networks
Sparse Physics-based and Interpretable Neural Networks for PDEs This repository contains the code and manuscript for research done on Sparse Physics-b