A reinforcement learning toolkit for compiler optimizations
CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks.
A python tool to drive AWS CloudFormation
It automates the mundane, repetitive and error-prone tasks, enabling you to concentrate on building better infrastructure.
A python tool perform some quick tasks for CTFs and Pentesting
A python tool perform some quick tasks for CTFs and Pentesting
A clock app, which helps you with routine tasks
A clock app, which helps you with routine tasks
A task to separate audio recordings into individual sources in PyTorch
A task to separate audio recordings into individual sources in PyTorch
A set of Python scripts to surpass human limits in accomplishing simple tasks
A set of Python scripts to surpass human limits in accomplishing simple tasks
UniLM AI: Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities
UniLM AI - Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities
A Prompt-based Zero-Shot Learner Through an Original Pre-training Task
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
PIZZA: a task-oriented semantic parsing dataset
PIZZA: a task-oriented semantic parsing dataset
A command line tool for frequent nmigen tasks
A command line tool for frequent nmigen tasks
Example Of Fine-Tuning BERT For Named-Entity Recognition Task And Preparing For Cloud Deployment Using Flask, React, And Docker
This repository contains useful code snippets and configuration examples for fine-tuning BERT for the NER downstream task
A distributed task queue for python built on top of mongo, redis and gevent
MRQ is a distributed task queue for python built on top of mongo, redis and gevent.
Huey: A little task queue for python
a little task queue for python
A fast and reliable background task processing library for Python 3
A fast and reliable distributed task processing library for Python 3.
A Python binding to the tokenizer Ucto
This is a Python binding to the tokenizer Ucto. Tokenisation is one of the first step in almost any Natural Language Processing task
A machine learning library for performing regression tasks using RVM technique
An open source machine learning library for performing regression tasks using RVM technique.
A fast and reliable distributed task processing library for Python 3
A fast and reliable distributed task processing library for Python 3. Fork of dramatiq.io
A Python module capable of performing multi-label learning tasks
scikit-multilearn is a Python module capable of performing multi-label learning tasks.
TOOD: Task-aligned One-stage Object Detection
TOOD: Task-aligned One-stage Object Detection (ICCV 2021 Oral)
Empower Sequence Labeling with Task-Aware Language Model
This project provides high-performance character-aware sequence labeling tools, including Training, Evaluation and Prediction.
Solving reinforcement learning tasks which require language and vision
JAX implementations of the following multimodal reinforcement learning approaches.
An efficient framework for end-to-end learning on image-text and video-text tasks
Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling
A simple python library to handle some extraction tasks using less lines of code
Py_extract is a simple, light-weight python library to handle some extraction tasks using less lines of code.
Reconstruction and automation of the reconnaissance phase
Crimson is a tool that automates some of the Pentester or Bug Bounty Hunter tasks.
Differentiable rasterization applied to 3D model simplification tasks
Differentiable rasterization applied to 3D model simplification tasks
A Transformer Model for Embodied, Language-guided Visual Task Completion
Code for EmBERT, a transformer model for embodied, language-guided visual task completion.
Python ELT Studio, an application for building ELT (and ETL) data flows
The Python Extract, Load, Transform Studio is an application for performing ELT (and ETL) tasks. Under the hood the application consists of a two parts
A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Multi-Task Vision and Language Representation Learning
12-in-1: Multi-Task Vision and Language Representation Learning
PVTv1 & PVTv2 in image classification and semantic segmentation tasks
This repository contains the official implementation of PVTv1 & PVTv2 in image classification, object detection, and semantic segmentation tasks.
A Python package for writing multithreaded code and parallelizing tasks across CPU threads
The Python package for (pear)allelizing your tasks across multiple CPU threads.
Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
Dice Loss for NLP Tasks with python
The repo contains the code of the ACL2020 paper `Dice Loss for Data-imbalanced NLP Tasks`
Task Agnostic Morphology Evolution with python
Code for the paper Task Agnostic Morphology Evolution.
Network utility tool that performs some network and security administrator tasks
Network utility tool that performs some network and security administrator tasks.
Learning What To Share For Efficient Deep Multi-Task Learning
AdaShare is a novel and differentiable approach for efficient multi-task learning that learns the feature sharing pattern to achieve the best recognition accuracy
Windows Task Manager with special features written in Python
Windows Task Manager with special features, written in Python.
The Spatially-Correlative Loss for Various Image Translation Tasks
CVPR 2021: "The Spatially-Correlative Loss for Various Image Translation Tasks"
Minimal example utilizing FastAPI and Celery with RabbitMQ for task queue
Minimal example utilizing FastAPI and Celery with RabbitMQ for task queue, Redis for Celery backend and flower for monitoring the Celery tasks.
A Universal Approach To Point Cloud Processing Tasks
This is an official PyTorch code repository of the paper "Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks " (ICCV, 2021).
Optimus's transformation plugins are implementations of Task and Hook interfaces
Optimus's transformation plugins are implementations of Task and Hook interfaces that allows execution of arbitrary jobs in optimus.
Distributed Task Queue (development branch) with python
Distributed Task Queue (development branch) with python.
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
A command line tool to create a graph representing your Ansible playbook tasks and roles
ansible-playbook-grapher is a command line tool to create a graph representing your Ansible playbook tasks and roles.
Multi-Task Framework for Cross-Lingual Abstractive Summarization
Multi-Task Framework for Cross-Lingual Abstractive Summarization (MCLAS)
A Multi-Task Reinforcement Learning Benchmark
A Multi-Task Reinforcement Learning Benchmark.
Unified Network for Multiple Tasks With Python
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks
Adding Chit-Chat to Enhance Task-Oriented Dialogues
Data & Code for ACCENTOR: "Adding Chit-Chat to Enhance Task-Oriented Dialogues" (NAACL 2021)
Asynchronous serverless task queue with timed leasing of tasks
Asynchronous serverless task queue with timed leasing of tasks. Threaded implementations for SQS and local filesystem.