Deeplearning Libraries

26 Components & Libraries

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Deeplearning Libraries

SORDI dataset has per frame annotation file in json format. Following tools create a COCO style annotation out of it. Thus the SORDI data can be easily fed into COCO style training pipelines.

SORDI dataset has per frame annotation file in json format. Following tools create a COCO style annotation out of it. Thus the SORDI data can be easily fed into COCO style training pipelines. Sample …

One line to host them all. Bootstrap your image search case in minutes.

NOW gives the world access to neural image search in just one command execution.Main features In case you need sudo for running Docker, install and use jina-now using sudo as well. You can use the fo…

WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models with PyTorch backend.

WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models with PyTorch backend. Pull requests are welcome. For major chang…

An open-source Python package for making computer vision and image processing simpler

A package for making computer vision and deep learning with images simpler!

Awesome Panel supports Panel and its users. We want to show how awesome the framework is and help push it forward. ❤️🐍📈

We want to We provide Explore the sample apps by running You can download the example files only, i.e. without installing all the python packages, via Click one of the buttons Thanks I would love to …

Its a implementation of DeepFont : Identify Your Font from An Image using Keras

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Our augmentation method can accurately emulate realistic color constancy degradation. Existing color augmentation methods often generate unrealistic colors which rarely happen in reality (e.g., green…

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

基于TensorFlow 2正式版！！！理论与实战结合，非常适合入门学习！！！联系邮箱(一般问题建议Github issues交流)：liangqu.long AT gmail.com 以下高校已采用本书作为专业教材或参考资料(排名不分先后)，欢迎更多高校加入！发送邮件即可索取PPT原始教案。适合零基础、希望快速入门AI的朋友，提供答疑、指导等全方位服务。

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

Debugging, monitoring and visualization for Python Machine Learning and Data Science

TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Microsoft Research. It works in Jupyter Notebook to show real-time visualiza…

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

The documentation is still being improved, so if a tutorial you need isn't there yet, check back soon or post an issue! If you're installing on a system with GPU access: Otherwise: Finally, regardles…

Sound Related Deep Learning Tasks boosting repository with pytorch

LibriTTS, Maestro, VCTK and VoiceBank are prepared at now. Freely suggest me a dataset or PR is welcome! General sound settings and sources

Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and SimpleITK Images

Low-code framework for building custom LLMs, neural networks, and other AI models

Key features: Install from PyPi. Be aware that Ludwig requires Python 3.8+. Or install with all optional dependencies: Let's fine-tune a pretrained LLaMA-2-7b large language model to follow instructi…

:robot: Roadmap to becoming a Machine Learning developer in 2020

This repo is meant for backend API for face comparision and computer vision. It is built on python flask framework

Compare two images and it will return True or False. This is the main focus of this repo. I have attached two py file.One is compare_image.py this can be run in the terminal with two images name like…

RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow1.11.0 + without Neural Compute Stick(NCS)

RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow + without Neural Compute Stick(NCS) 0.【Run in Ubuntu 16.04 environment】 Realsense D43…

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

RaspberryPi3(Raspbian Stretch) or Ubuntu16.04/UbuntuMate + Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) ◯=HIGH, △=MEDIUM, ×=LOW 1.Execute t…

A Python package for geometric transformations of images for data augmentation in deep learning

This package enables you to make fast geometric transformations of images for the purpose of data augmentation in deep learning. The supported geometric transformations are These transformations can …

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

MobileNet-SSD + Neural Compute Stick + RaspberryPi3 / MultiStick(3 Stick / Hard Motion) ・RaspberryPi 3 + Raspbian Stretch ・Intel Movidius Neural Compute Stick　1 piece ・OpenCV 3.4.2 ・OpenGL ・numpy ・(U…

Multi-class confusion matrix library in Python

Fig1. ConfusionMatrix Block Diagram After that, two scores are calculated for each confusion matrices, overall and class-based. The overall score is the average of the score of seven overall benchmar…

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

Here is some material about this topic if you want to read and listen to the theory instead of just doing hands-on: Here some more demos: The code is developed and tested on Mac and Linux operating s…

learn code with tensorflow

MLP for mnist done test on 102flowers done command like this: test on MLP model on mnist done In folder finetuning, we use tf.slim to finetuning the pretrain model (I use the same method in my porn d…

[UNMAINTAINED] Automated machine learning for analytics & production

Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

在本系列中，你可能会接触到数据挖掘、机器学习、深度学习、自然语言处理、人工智能等很多的概念。值得说明的是，鉴于很多的算法实现是以文字结合代码介绍为最佳，因此工具实践篇中的大部分内容是以 Juypter Notebook 的形式放在该仓库中，并且在 Colab 中进行浏览、编辑与实验。 1956 年，几个计算机科学家相聚在达特茅斯会议，提出了“人工智能”的概念，梦想着用当时刚刚出现的计算机来构造…