July 20, 2021 Machine Learning

Clockwork Variational Autoencoders using JAX and Flax

Clockwork VAEs in JAX/Flax Implementation of experiments in the paper Clockwork Variational Autoencoders (project website) using JAX and Flax, ported from the official TensorFlow implementation. Running on a single TPU v3, training is 10x faster than reported in the paper (60h -> 6h on minerl). Method Clockwork VAEs are deep generative model that learn long-term dependencies in video by leveraging hierarchies of representations that progress at different clock speeds. In contrast to prior video prediction methods that typically focus on […]

July 20, 2021 Github

Send CVE information to the specified mailbox from Github

CVEAP Send CVE information to the specified mailbox (from Github) 功能監控Github上的漏洞、紅隊等信息推送釘釘、郵箱、Telegram BOT、Server醬安裝telegram bot需要的庫： pip3 install python-telegram-bot 默認監聽關鍵詞 keyword_list = [“免杀”, “poc”, “cve”, “payload”, “漏洞利用”, “红队”, “蓝队”, “redteam”, “取证”, “应急”, “后渗透”, “内网”, “攻防”, “网络安全”，”主机安全”, “信息收集”, “溯源”] 截圖 GitHub https://github.com/JustYoomoon/CVEAP

July 20, 2021 Machine Learning

An anchor-free version of YOLO with a simpler design but better performance

YOLOX YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities. For more details, please refer to our report on Arxiv. Comming soon [ ] YOLOX-P6 and larger model. [ ] Objects365 pretrain. [ ] Transformer modules. [ ] More features in need. Benchmark Standard Models. Light Models. Quick Start Installation Step1. Install YOLOX. git clone [email protected]:Megvii-BaseDetection/YOLOX.git cd YOLOX pip3 install -U pip && pip3 […]

July 20, 2021 Python

Speech Recognition With Python

Have you ever wondered how to add speech recognition to your Python project? It’s more straightforward than you might think. In this course, you’ll find out how. In this course, you’ll learn: How speech recognition works What speech recognition packages are available on PyPI How to install and use the SpeechRecognition package—a full-featured and straightforward Python speech recognition library

July 20, 2021 Advanced, NLP, Text

Feature Extraction and Embeddings in NLP: A Beginners guide to understand Natural Language Processing

This article was published as a part of the Data Science Blogathon Introduction In Natural Language Processing, Feature Extraction is one of the trivial steps to be followed for a better understanding of the context of what we are dealing with. After the initial text is cleaned and normalized, we need to transform it into their features to be used for modeling. We use some particular method to assign weights to particular words within our document before modeling them. We go […]

July 19, 2021 NLP

Power Pooling: An Adaptive Pooling Function for Weakly Labelled Sound Event Detection

July 18, 2021 By: Yuzhuo Liu, Hangting Chen, Yun Wang, Pengyuan Zhang Abstract Access to large corpora with strongly labelled sound events is expensive and difficult in engineering applications. Many researches turn to address the problem of how to detect both the types and the timestamps of sound events with weak labels that only specify the types. This task can be treated as a multiple instance learning (MIL) problem, and a key to it in the sound event detection (SED) […]

July 19, 2021 NLP

Evaluation Examples Are Not Equally Informative: How Should That Change NLP Leaderboards?

August 1, 2021 By: Pedro Rodriguez, Joe Barrow, Alexander Hoyle, John P. Lalor, Robin Jia, Jordan Boyd-Graber Abstract Leaderboards are widely used in NLP and push the field forward. While leaderboards are a straightforward ranking of NLP models, this simplicity can mask nuances in evaluation items (examples) and subjects (NLP models). Rather than replace leaderboards, we advocate a re-imagining so that they better highlight if and where progress is made. Building on educational testing, we create a Bayesian leaderboard model […]

July 19, 2021 FastAPI

A full Rest-API for JSON response included Docker Contains

Pexon-Rest-API A full Rest-API for request & response a JSON file included Docker Contains. Using FastAPI framework, high performance, fast to code, ready for production. Build a response & a request JSON file for handling the backend Side also with a container side for Docker. Fast respond and unit test for the main.py How to use : 1- To Use Pexon you need to check all requirements : pip install -r requirements.txt 2- to interact with live debug : you […]

July 19, 2021 Tool

An Efficient Model Parallelization Toolkit for Deployment

parallelformers An Efficient Model Parallelization Toolkit for Deployment. Parallelformers, which is based on Megatron LM, is designed to make model parallelization easier. You can parallelize various models in HuggingFace Transformers on multiple GPUs with a single line of code. Currently, Parallelformers only supports inference. Training features are NOT included. Why Parallelformers? You can load a model that is too large for a single GPU. For example, using Parallelformers, you can load a model of 12GB on two 8 GB GPUs. […]

July 19, 2021 Images

Speed up image analysis in Python with efficient reading

impy Speed up image analysis in Python with efficient reading, batch-processing, viewing functions and easily extend your own function for batch processing. Image analysis programatically is sometimes troublesome like … for multi-dimensional images, you need to check which is time-axis and which is channel axis and so on. you need to consider the output data types and shapes for every batch image processing. you need to care about all the images’ information such as the names and directories of original […]

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