Java Open Source Projects for Students

    Java Open Source Projects for Students often the best way to start your projects as your mode. We can create Android apps related to open source projects which are to use. Our Java open source projects for students encourage wide variety of students and creating new opportunities to achieve our customer’s goals. Open source software helps you create projects of your knowledge space. To support our students, we designed a comprehensive materials to get something knowledge quickly. We implemented new hybrid algorithms with well-defined pseudocodes in a structured way. Large number of students was benefitted through our services. Students, if you are interested, share your ideas or titles. We implement it in a few days

Java Open Source Projects for Students

    Java Open Source Projects for Students started to help everyone. Students, research scholars and Java developers can use our services and you can contact us for any academic needs such as final year project development, lab program assignments, homework, project documentation, journal paper writing, journal paper publication, conference paper writing, thesis writing, proofreading and many more. We offer online service designed to engage students and improve skills. Here we provided some latest open source software in Java,

  • Deeplearning4j (Support for AI)
  • aTunes (Support for Audio processing)
  • Jajuk (Support for Audio processing)
  • HDFS (Support for Big Data Analysis)
  • Lucene (Support for Big Data Analysis)
  • Eclipse (Support for Java programs development)

Recommended Software to develop Java Open Source Project

  • Linux – Xubuntu 14.04 (You can use Windows or any other OS)
  • JDK 8 – Java SE Development Kit 8 (You can use JDK 6/7)
  • Eclipse for Java 8 (You can use other Java IDEs like Netbeans, IntelliJ IDEA)

Let’s see one sample Java code using Deeplearning4j,

Deeplearning4j is released under an Apache 2.0 license and it is used in various neural nets,

  • Anomaly Detection
  • User Interface Examples
  • TSNE
  • Recurrent Neural Nets
  • Convolutional Neural Nets
  • Word2Vec and Glove

// Source code for MLP configuration…..

MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder()






// … other hyperparameters




Required Software

  • Eclipse or IntelliJ IDEA
  • Apache Maven
  • Java 1.7 or later versions (64-bit)
  • Ubuntu 16

Required Dependencies

  • datavec-api
  • deeplearning4j-core
  • nd4j-native-platform

Sample Applications with Research Areas using Deeplearning4j

  • Real-time threat detection (Security)
  • Motion detection (UI/UX/Gaming)
  • Photo clustering (Telecom)
  • Machine vision (Automotive)
  • Image search (Social media)
  • Facial recognition (Image processing)
  • Fraud detection (Forgery)
  • Threat detection (Social media)
  • Augmented search (Finance)
  • Sentiment analysis (Social media)
  • Recommended engine (Social networks)
  • Predictive analytics using sensors (IoT)
  • Risk detection or log analysis (Data centers)
  • Sentiment analysis (CRM)
  • Voice recognition (Security, IoT, UX/UI)
  • Voice search (Telecoms)

Recent Titles on Java Open Source Projects for Students

  • A Deep-Reinforcement-Learning-Based on Optimization intended for Cache-Enabled Opportunistic Interference Alignment in Wireless Networks
  • A new-fangled method of DeepPap scheme based on Deep Convolutional Networks for Cervical Cell Classification practice
  • Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection
  • A new function of Deep Learning on Lie Groups designed for Skeleton-Based on Action Recognition system
  • The flourishing process of WSISA based Making on Survival Prediction commencing for Whole Slide Histopathological Images system
  • A competent Action process of Unit Detection via Optimal Temporal Fusing, Multi-labeling Learning and Region Adaptation system
  • An effectual system for Content-Attention Representation through Factorized Action-Scene Network intended for Action Recognition system
  • A novelty process of Weakly Supervised Learning with Deep Convolutional Neural Networks intended for Semantic Segmentation in Understanding Semantic Layout of Images by Minimum Human Supervision
  • The proficient process of Geometric Deep Learning based on Graphs with Manifolds by Mixture Model CNNs system
  • The expert learning process of Deep Context-Aware Features in excess of Body with Latent Parts designed for Person Re-identification system
  • A new function of Spatio-Temporal Self-Organizing Map Deep Network intended for Dynamic Object Detection from Videos scheme
  • A capable process of Recurrent Convolutional Neural Networks in favor of Continuous Sign Language Recognition via Staged Optimization system