Python Probing-tasks Resources

FantasyBert English | 中文 Introduction An easy-to-use framework for BERT models, with trainers, various NLP tasks and detailed annonations. You can imp

HuggingSound HuggingSound: A toolkit for speech-related tasks based on HuggingFace's tools. I have no intention of building a very complex tool here.

Easy Data Augmentation Implementation This repository contains my Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Per

Paper | Blog OFA is a unified multimodal pretrained model that unifies modalities (i.e., cross-modality, vision, language) and tasks (e.g., image gene

Persian NLP Benchmark The repository aims to track existing natural language processing models and evaluate their performance on well-known datasets.

AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks arXiv link: upcoming To be published in Findings of NA

Click here to be re-directed to the Beat Inspect Streamlit Web-App You are a music producer? Let's get in touch via LinkedIn Fundamental Analytics for

Deep-Learning-for-Text-Document-Classification Text classification is one of the popular tasks in NLP that allows a program to classify free-text docu

LeetComp Analysing compensations mentioned on the Leetcode forums (https://kuuts

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers Authors: Jaemin Cho, Abhay Zala, and Mohit Bansal (

Official repository of OFA. Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers Authors: Jaemin Cho, Abhay Zala, and Mohit Bansal (

PICO is an algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks. It is developed by the Multi-Agent Artificial Intel

A Slack app/bot for playing Texas Hold 'Em where the currency is various workout tasks e.g. pushups. The intent is to make the workday more fun & active for remote teams.

Vision-Transformer-Multiprocess-DistributedDataParallel-Apex Introduction This project uses ViT to perform image classification tasks on DATA set CIFA

Auto Project Builder Automates the repetitive tasks while starting a new project Installation Use the REQUIREMENTS.txt file to install the dependencie

Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Estimate the noise transition matrix with f-mutual information. This co

Adversarially-Robust-Periphery Code + Data from the paper "Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks" by A

MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks Introduction This repo contains the pytorch impl

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

Scripting.py is a repository being maintained to keep log of the python scripts that I create for automating and executing some of my boring manual task.

Introduction A library from RCTI+ to handle RabbitMQ tasks (connect, send, receive, etc) in Python. Requirements Python =3.7.3 Pika ==1.2.0 Aio-pika

Awesome AI for Art & Design An awesome list of AI for art and design - resources, and popular datasets and how we may apply computer vision tasks to a

sfgp is a package that aggregates individual scripts and notebooks, primarily written for the basic analysis tasks of genetics and pharmacogenomics data.

Files for some of the tasks for the group sessions Here you can find some of the

A GUI frontend developed in Python3 for simple admin tasks on MySQL-Server running on the localhost. Developed for my CS School Project.

Using Self-Supervised Pretext Tasks for Active Learning - Official Pytorch Implementation Experiment Setting: CIFAR10 (downloaded and saved in ./DATA

Using Attention in HRL Framework for training options with different attention mechanism and using them to solve downstream tasks. Requirements GPU re

EncT5 (Unofficial) Pytorch Implementation of EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks About Finetune T5 model for classification & r

Hello from magnus Magnus provides four capabilities for data teams: Compute execution plan: A DAG representation of work that you want to get done. In

ShadowClone allows you to distribute your long running tasks dynamically across thousands of serverless functions and gives you the results within seconds where it would have taken hours to complete

nextPARS, a novel Illumina-based implementation of in-vitro parallel probing of RNA structures. Here you will find the scripts necessary to produce th

Addressing Function Approximation Error in Actor-Critic Methods PyTorch implementation of Twin Delayed Deep Deterministic Policy Gradients (TD3). If y

NeWT: Natural World Tasks This repository contains resources for working with the NeWT dataset. ❗ At this time the binary tasks are not publicly avail

transformers-arithmetic This repository contains the code to reproduce the experiments from the paper: Nogueira, Jiang, Lin "Investigating the Limitat

A simple Flask site that allows users to create, update, and delete posts in a database, as well as perform basic NLP tasks on the posts.

PyBx WIP A simple python module to generate anchor (aka default/prior) boxes for object detection tasks. Calculated anchor boxes are returned as ndarr

Collection of tools to be more productive in your work environment and to avoid certain repetitive tasks. 💛💙💚

delete-archived-sp-tasks.py Removes all archived super productivity tasks. Just run the python script. This is helpful to do a cleanup every 3-6 month

Youtubist Basically fork of yt-dlp python module to my needs. You can paste playlist or channel link on the YouTube. It will automatically format to s

BART (Beyond Audio Replay Technology) aids transcribe tasks by taking a source audio file and creating automatic repeated loops, allowing transcribers to listen to fragments multiple times (with possible overlap between segments).

Data Framework for Semantic/Instance Segmentation Bunch of different tools which helps visualizing, transforming and annotating images for semantic/in

RL-GAN: Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation RL-GAN is an official implementation of the paper: T

Machine care An simple python script to take care of simple maintenance tasks fo

Implementations of task 1, 2 and 3 from here Author: Maciej Bazela Index: 261743 Each task was implemented in Python 3. I've used Cython to speed up e

Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations Trevor Ablett, Daniel (Yifan) Zhai, Jonatha

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

Point Cloud Utils (pcu) - A Python library for common tasks on 3D point clouds Point Cloud Utils (pcu) is a utility library providing the following fu

Asynchronous serverless task queue with timed leasing of tasks. Threaded implementations for SQS and local filesystem.

Synthetic dataset rendering Framework for producing the synthetic datasets used in: How Useful is Self-Supervised Pretraining for Visual Tasks? Alejan

VTOP_Login Automatically logs into VTOP and can perform certain tasks To run the

Welcome to ppm-telegram-bot 👋 Telegram Bot Platform integration for bot commands processing. We use it for our internal @piterpy-meetup needs, basica

Pearpy The Python package for (pear)allelizing your tasks across multiple CPU threads. Installation The latest version of Pearpy can be installed with

Basic yet complete Machine Learning pipeline for NLP tasks This repository accompanies the article on building basic yet complete ML pipelines for sol

Django-Task-Manager Task Tracker using Python Django About The Project This project is an orgizational tool to keep track of tasks/projects and the ti

TDmatch TDmatch is a Python library developed to perform matching tasks in three categories: Text to Data which matches tuples of a table to text docu

Simple Gadget Collection for Object Detection Tasks Automatic image annotation Conversion between different annotation formats Obtain statistical info

A python script based on opencv and paddleocr, which can automatically pick up tasks, make cookies, and receive rewards in the Destiny 2 Dawning Oven

FFPuppet FFPuppet is a Python module that automates browser process related tasks to aid in fuzzing. Happy bug hunting! Are you fuzzing the browser? G

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

py_tasks Contains a bunch of different python programm tasks Armstrong.py - calculate Armsrong numbers in range from 0 to n with / without cache and c

PyYoutubemanager Explore the docs » View Demo · Report Bug · Request Feature About The Project PyYotubemanager is full web automated bot capable of Ge

Sequential Transformer This is a code for training Transformers on sequential tasks such as language modeling. Unlike the original Transformer archite

wav2vec_finetune Test finetuning of XLSR (multilingual wav2vec 2.0) for other speech classification tasks Initial test: gender recognition on this dat

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

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

HSE_Python_the_basics Welcome to BAsics programming Python! You’re joining thousands of learners currently enrolled in the course. I'm excited to have

Getting Started Include pyramid_celery either by setting your includes in your .ini, or by calling config.include('pyramid_celery'): pyramid.includes

VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks. VMAgent is constructed based on one month r

NLP_practice We will continuously update some NLP practice based on different tasks. prerequisites Software pytorch = 1.10 torchtext = 0.11.0 sklear

PyLabel pip install pylabel PyLabel is a Python package to help you prepare image datasets for computer vision models including PyTorch and YOLOv5. I

This is a project of data parallel that running on NLP tasks.

CALVIN CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks Oier Mees, Lukas Hermann, Erick Rosete,

TaskBench500 The TaskBench500 dataset and code for generating tasks. Data The TaskBench dataset is available under wget http://web.mit.edu/bzl/www/Tas

TaskBench500 The TaskBench500 dataset and code for generating tasks. Data The TaskBench dataset is available under wget http://web.mit.edu/bzl/www/Tas

DUE Evaluator The repository contains the evaluator covering all of the metrics required by tasks within the DUE Benchmark, i.e., set-based F1 (for KI

quattro: task control for asyncio quattro is an Apache 2 licensed library, written in Python, for task control in asyncio applications. quattro is inf

Natural Language Processing Tasks and Examples With the advancement of A.I. technology in recent years, natural language processing technology has bee

MatrixProfile MatrixProfile is a Python 3 library, brought to you by the Matrix Profile Foundation, for mining time series data. The Matrix Profile is

P-tuning v2 P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks An optimized prompt tuning strategy achievi

Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks This repository contains the official code for the

sync-my-tasks Copy tasks between apps Report a Bug · Request a Feature . Ask a Question Table of Contents Table of Contents Getting Started Developmen

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Image Classification Dataset: Google Landmark, COCO, ImageNet Model: Efficient

slue-toolkit We introduce Spoken Language Understanding Evaluation (SLUE) benchmark. This toolkit provides codes to download and pre-process the SLUE

A benchmark of data-centric tasks from across the machine learning lifecycle.

dm_robotics: Libraries, tools, and tasks created and used for Robotics research at DeepMind. Package overview Package Summary Transformations Rigid bo

nvdiffmodeling [origin_code] Differentiable rasterization applied to 3D model simplification tasks, as described in the paper: Appearance-Driven Autom

Uniformer - Pytorch Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification ta

PixelNet: Representation of the pixels, by the pixels, and for the pixels. We explore design principles for general pixel-level prediction problems, f

Luminous is a framework for testing the performance of Embodied AI (EAI) models in indoor tasks. Generally, we intergrete different kind of functional

Exploiting a Zoo of Checkpoints for Unseen Tasks This repo includes code to reproduce all results in the above Neurips paper, authored by Jiaji Huang,

TestMakerProject A simple program which gets a file(CSV/Excel) with tasks and creates different variants The main program is QTengine.py You only have

Scripts-To-Automate-This A compilation of useful scripts for common tasks Name What it does Type Add file extensions Adds ".png" to a list of file nam

Utils to quickly evaluate many 🤗 models on the GLUE tasks

Virtual-Artificial-Intelligence-genesis- I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform

AutoTabular AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just

Kush's Utils Tool is my personal collection of scripts which is used to automated daily tasks. It is a evergrowing collection of scripts and will continue to evolve till the day I program. This is also my first python project.

stsb_multi_mt_en STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 an

MindCraft Authors: Cristian-Paul Bara*, Sky CH-Wang*, Joyce Chai This is the official code repository for the paper (arXiv link): Cristian-Paul Bara,

Ansible Playbook Grapher ansible-playbook-grapher is a command line tool to create a graph representing your Ansible playbook plays, tasks and roles.