Python Lstm

Open-source Python projects categorized as Lstm

Top 16 Python Lstm Projects

  • EasyOCR

    Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

    Project mention: [P]Modern open-source OCR capabilities and which model to choose | reddit.com/r/MachineLearning | 2022-11-18

    I've used EasyOCR for number recognition tasks. Works fairly well. https://github.com/JaidedAI/EasyOCR

  • NCRFpp

    NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

  • Zigi

    The context switching struggle is real. Zigi makes context switching a thing of the past. It monitors Jira and GitHub updates, pings you when PRs need approval and lets you take fast actions - all directly from Slack!

  • flow-forecast

    Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

    Project mention: Cash-flow forecasting | reddit.com/r/datascience | 2022-10-07

    -Flow

  • BCDU-Net

    BCDU-Net : Medical Image Segmentation

    Project mention: [D] Extensions to U-nets | reddit.com/r/MachineLearning | 2022-03-18

    I compared a U-net, BCDU-net, and a U2-net for glacier semantic segmentation which is a pretty easy task. I don't still have the exact numbers, but U2-net was the best. I've also used a U2-net to map geologic structures which is a lot harder and the U2-net did well there too.

  • kraken

    OCR engine for all the languages (by mittagessen)

    Project mention: Kraken: Turn-key OCR system optimised for historical and non-Latin script | news.ycombinator.com | 2022-02-20
  • paraphraser

    Sentence paraphrase generation at the sentence level

  • sequitur

    Library of autoencoders for sequential data

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Data Platform where developers build real-time applications for analytics, IoT and cloud-native services in less time with less code.

  • ConvLSTM-PyTorch

    ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

  • speech-music-detection

    Python framework for Speech and Music Detection using Keras.

    Project mention: Kann man die Musik eines bestimmten Radiosenders ersetzen, aber die Moderation behalten? | reddit.com/r/FragReddit | 2021-12-22

    Obwohl ... wenn da sogar Python-Wrapper existeren (z.B. das hier: https://github.com/qlemaire22/speech-music-detection ) dann ist es womglich doch nicht so super schwer.

  • chicksexer

    A Python package for gender classification.

    Project mention: what model would you use to train it to identify if a first name belongs to a male/female? | reddit.com/r/datascience | 2022-06-24

    There's a python package called chicksexer (I know) which does this. You can check it out here: https://github.com/kensk8er/chicksexer

  • Spectrum

    Spectrum is an AI that uses machine learning to generate Rap song lyrics (by YigitGunduc)

  • DeepMalwareDetector

    A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

    Project mention: Looking for insight on labelling portable executable (PE) malware files using a VirusTotal API response report. | reddit.com/r/Malware | 2022-08-26

    What brought me to this research was these studies [1] [2], which demonstrates how image-based malware classification can be done using a CNN (convolutional neural network). Since I had a bit of a background with malware, and I recently completed a CNN model, I figured I would try to do something similar. It was only after investigating different materials I hit a bit of a roadblock. I found this one dataset, malimg [3], which is made up of PE files that have been converted into images already. I didn't want to just use the images, I wanted to demonstrate how to get them, only the method used to classify them turned out to be a bit out of my depth, kind of like this whole project, it's discussed in Section 4.2 of this paper [4] . There's also this set [5], which contains the pixel content for each file record. And as for the static disassembly you mention, I think you are right, the training data might not exist. During my investigation the best I could find was this study [6].

  • Baby-Action-Detection-for-Safety-System-Prototype

    Prototype for Baby Action Detection and Classification

  • thesis

    Master's thesis, Uni Passau (by harshildarji)

  • MenstruatioNN

    LSTM to predict menstruation and menstrual cycles.

    Project mention: LSTM to predict menstruation and menstrual cycles | news.ycombinator.com | 2022-09-24
  • deepNOID

    deepNOID, the binary music genre classifier which determines if what you're listening to really is NOIDED

  • Scout APM

    Truly a developer’s best friend. Scout APM is great for developers who want to find and fix performance issues in their applications. With Scout, we'll take care of the bugs so you can focus on building great things 🚀.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2022-11-18.

Python Lstm related posts

Index

What are some of the best open-source Lstm projects in Python? This list will help you:

Project Stars
1 EasyOCR 16,385
2 NCRFpp 1,837
3 flow-forecast 1,201
4 BCDU-Net 522
5 kraken 421
6 paraphraser 378
7 sequitur 298
8 ConvLSTM-PyTorch 245
9 speech-music-detection 78
10 chicksexer 76
11 Spectrum 38
12 DeepMalwareDetector 36
13 Baby-Action-Detection-for-Safety-System-Prototype 29
14 thesis 14
15 MenstruatioNN 6
16 deepNOID 4
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