November 26, 2021 Scripts

Create standalone executables from Python scripts, with the same performance and is cross-platform

cx_Freeze creates standalone executables from Python scripts, with the same performance, is cross-platform and should work on any platform that Python itself works on. It supports Python 3.6 up to 3.9. If you need support for older Python check the documentation. Improved ModuleFinder, using importlib.machinery Support for package metadata Enhanced support for Python 3.8 and experimental support for Python 3.9 Better support for MSYS2 and Anaconda (simultaneously launching the version) Improvements for multiprocessing Integrated to setuptools and importlib.metadata Code modernization […]

November 25, 2021 NLP

Performance and Efficiency Evaluation of ASR Inference on the Edge

Abstract Automatic speech recognition, a process of converting speech signals to text, has improved a great deal in the past decade thanks to the deep learning based systems. With the latest transformer based models, the recognition accuracy measured as word-error-rate (WER), is even below the human annotator error (4%). However, most of these advanced models run on big servers with large amounts of memory, CPU/GPU resources and have huge carbon footprint. This server based architecture of ASR is not viable […]

November 25, 2021 Various

Core utilities for Python packages

Reusable core utilities for various Python Packaging interoperability specifications. This library provides utilities that implement the interoperability specifications which have clearly one correct behaviour (eg: PEP 440) or benefit greatly from having a single shared implementation (eg: PEP 425). The packaging project includes the following: version handling, specifiers, markers, requirements, tags, utilities. Documentation The documentation provides information and the API for the following: Version Handling Specifiers Markers Requirements Tags Utilities Installation Use pip to install these utilities: pip install packaging […]

November 25, 2021 Pytest

Pytest plugin that let you automate actions and assertions with test metrics reporting executing plain YAML files

pytest-play pytest-play is a codeless, generic, pluggable and extensible automation tool, not necessarily test automation only, based on the fantastic pytest test framework that let you define and execute YAML files containing scripts or test scenarios through actions and assertions that can be implemented and managed even by non technical users: automation (not necessarily test automation). You can build a set of actions on a single file (e.g, call a JSON based API endpoint, perform an action if a condition […]

November 25, 2021 Compiler

Nuitka : a Python compiler written in Python

This document is the recommended first read if you are interested in using Nuitka, understand its use cases, check what you can expect, license, requirements, credits, etc. Nuitka is the Python compiler. It is written in Python. It is a seamless replacement or extension to the Python interpreter and compiles every construct that CPython 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9 have, when itself run with that Python version. It then executes uncompiled code and compiled code together […]

November 25, 2021 Baseline

SCU OlympicsRunning Baseline

Environment check details in Jidi Competition RLChina2021智能体竞赛做出的修改：奖励重塑：修改了环境，重新设置了奖励的分配，使得奖励组成不只有零和博弈，还有探索环境的奖励。算法微调：修改了官方PPO算法的actor loss部分，增加了对actor分布熵的约束，未来计划加入RND、ICM等辅助部件。 Dependency conda create -n olympics python=3.8.5 conda activate olympics pip install -r requirements.txt Run a game python olympics/main.py Train a baseline agent python rl_trainer/main.py By default parameters, the total reward of training is shown below. GitHub View Github

November 25, 2021 augmentation

Code for text augmentation method leveraging large-scale language models

Code for our paper GPT3Mix and conducting classification experiments using GPT-3 prompt-based data augmentation. Getting Started Installing Packages The main depedencies can be installed via pip install -r requirements.txt. Usage The main code is run through main.py. Check out –help for full list of commands. The code will automatically use the first GPU device, if detected. A typical command to run BERT-base 10 times on the 1% subsample set of the SST-2 dataset and computing the averageof all run is […]

November 25, 2021 Graph

PatchGraph: In-hand tactile tracking with learned surface normals

This repository contains the source code of the paper PatchGraph: In-hand tactile tracking with learned surface normals. Create a virtual python environment using Anaconda: conda create -n inhand python=3.7 conda activate inhand Install the inhandpy python package. From the base directory execute: cd inhandpy/ pip install -e . In inhandpy, download datasets, pre-trained models and other local resources by running: ./download_local_files.sh Stage 1: Tactile images to 3D point clouds To run the example:

November 25, 2021 Web

Nick Craig-Wood’s public website

This directory tree is used to build all the different docs forNick Craig-Wood’s website. The content here is (c) Nick Craig-Wood – if you’d like to use itelsewhere then please ask first: [email protected] See the content directory for the pages in markdown format. Use hugo to build the website. Changing the layout If you want to change the layout then the main files to edit are layouts/_default/baseof.html for the HTML template chrome/navbar.html for the navbar chrome/menu.html for the menu Running […]

November 25, 2021 PyTorch

Implementation of Pix2Seq in PyTorch

Unofficial implementation of the Pix2Seq paper Different from the paper image input size 1280 bin size 1280 LambdaLR scheduler used instead of LinearLR resnet50 instead of resnet50d or resnet101 etc. Download first the coco2017 dataset and put it under the dataset folder. – dataset – annotations – instances_train2017.json – instances_val2017.json – train2017 – 000000000000.jpg – … – val2017 python train.py –config configs/pix2seq.yaml GitHub View Github

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