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Building Natural Language Applications with TensorFlow, published by Packt
This is a convolutional neural network trained with more than 15,000 dogs and cat images respectively. I have built this network three layers deep, giving an accuracy of 86%.
Code repository for Learn Artificial Intelligence with TensorFlow, published by Packt
Advanced Deep Learning with Keras, published by Packt
Controlling AI models distribution and versioning with MLflow and Minio/S3.
机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
ANTARES Visualizations
Apache Spark Deep Learning Cookbook, published by Packt
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
ASTRA Tomography Toolbox
Paper Lists for Graph Neural Networks
Reinforcement learning resources curated
A curated list of awesome Apache Spark packages and resources.
Coding exercises and calculations used during the course AWS SageMaker, Machine Learning and AI with Python by Chandra Lingam from PacktPub
This is an artificial neural network that is trained with 10'000 people details who were or are the costumers of the respective bank. This ANN is going to take the required details of a costumer and predict if e is going to leave the bank or not. This model is totally made using the Keras library by running tensorflow backend and Numpy for numerical computations.
A simple tool for labeling object bounding boxes in images
A place in which we publish scripts for reproducible benchmarks.
BigDL: Distributed Deep Learning Library for Apache Spark
Boobs - YOLO BBox Annotation Tool
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
A simple tensorFlow script for visualising the dataset in graph using Pandas.
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
BROCCOLI: Software for Fast fMRI Analysis on Many-Core CPUs and GPUs
Exploration of the risks of cervical cancer dataset, using supervised & unsupervised machine learning techniques to predict cervical cancer cases resulting in biopsies.
Code for CheXpert Challenge 2019 Top 1 && Top 2 solution
The "Command Line Interactive Controller for Kubernetes"
A simple binary classifier to predict if the given image is a cat or a dog.
lung cancer pathological image analyzer based on convolutional autoencoder
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.