Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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Emacs Elisp ProgrammingTutorial about programming Elisp and Emacs text editor customization.
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AvengingMVP pattern example on Android: no Dagger or RxJava example
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Rectlabel SupportRectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
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Espressifall espressif stuff will committed here
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Spring Boot Tutorial100+ Spring Boot Articles, Tutorials, Video tutorials, Projects, Guides, Source code examples etc
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ReactnativecodereuseexampleShows how to organize your code to reuse it as much as possible between Web, iOS and Android
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VaporschoolLearn how to build vapor applications from rookie to champion in a constructive way!
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Stock Trading MlA stock trading bot that uses machine learning to make price predictions.
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Javascript JourneySource code for blog post Journey from procedural to reactive JavaScript with stops
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Firebase Instagram📸 Instagram clone with Firebase Cloud Firestore, Expo, and React Native 😁😍
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React From ZeroA simple (99% ES2015 less) tutorial for React
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Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
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LimbobyexampleExamples for the Limbo Programming Language
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Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
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battery-rul-estimationRemaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
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dtsA Keras library for multi-step time-series forecasting.
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Project MinimekA sample app to demonstrate various useful Redux techniques, accompanying the blog series at http://blog.isquaredsoftware.com/series/practical-redux
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Robust-Deep-Learning-PipelineDeep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
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Bcdu NetBCDU-Net : Medical Image Segmentation
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Theano lstm🔬 Nano size Theano LSTM module
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CoroutinerecipesPlayground for Kotlin Coroutines. Basics, Channels, Flows, useful examples & comparison to RxJava.
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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
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Learning RustRust 学习之路 > Rust Programming Tutorial, include articles, interview, example, problems.
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Flow ForecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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Pygame tutorialsCode to go along with lessons at http://kidscancode.org/lessons
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Multi Human Parsing🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥
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Rxjava2 Android SamplesRxJava 2 Android Examples - Migration From RxJava 1 to RxJava 2 - How to use RxJava 2 in Android
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Jni By Examples🎇Fun Java JNI By Examples - with CMake and C++ (or C, of course!) ‼️ Accepting PRs
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Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
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HaxejsDocumentation about using JavaScript with Haxe
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Vulkan minimal computeMinimal Example of Using Vulkan for Compute Operations. Only ~400LOC.
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Pwa ExampleA short example illustrating some essential steps for creating a progressive web app (PWA).
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TelemanomA framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
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Expo Three Demo🍎👩🏫 Collection of Demos for THREE.js in Expo!
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Allstate capstoneAllstate Kaggle Competition ML Capstone Project
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Time-Series-ForecastingRainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.
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JavatutorialJava教程,包括多线程,泛型,反射,IO,容器类,注解
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Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
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DatasetCrop/Weed Field Image Dataset
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