Ghidra is a software reverse engineering (SRE) framework
- software-analysis
- disassembler
- reverse-engineering
Repository Index
47,133 repositories indexed
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Getting Started with Spring Boot 3:
Light, fluffy, and always free - The AWS Local Emulator alternative
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
- java
- gpu
- deeplearning
- neural-nets
🚀 A Complete Fast Android Networking Library that also supports HTTP/2 🚀
LeafPic is a fluid, material-designed alternative gallery, it also is ad-free and open source under GPLv3 license. It doesn't miss any of the main features of a stock gallery, and we also have plans to add more useful features.
- material
- android
- gallery
- app
This light-weight library provides images with letter/text like the Gmail app. It extends the Drawable class thus can be used with existing/custom/network ImageView classes. Also included is a fluent interface for creating drawables and a customizable ColorGenerator.
TranslatedA beautiful and powerful SeekBar what supports single、 range、steps、vetical、custom (A beautiful and powerful SeekBar that supports single-direction and two-direction range selection, steps, vertical orientation, and high customizability)
- seekbar
- slider-range
- slider
- verticalseekbar
The SpotBugs plugin for security audits of Java web applications and Android applications. (Also work with Kotlin, Groovy and Scala projects)
- findbugs
- java
- security-audit
- owasp
Android Library for making animated tutorials inside your app
Material Shadows for android : A library for supporting convex material shadows
- android
- material
- shadows
- library
Material Design Search Bar for Android
:wrench: LibGDX/LWJGL tutorials and examples
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
- tensorflow
- tensorflow-tutorials
- tensorflow-android
- machine-learning
Drag and drop to reorder items in a list, grid or board for Android. Based on RecyclerView. Also supports swiping items in a list.
🔐 Tutorial of setting up Security for your API with one way authentication with TLS/SSL and mutual authentication for a java based web server and a client with both Spring Boot. Different clients are provided such as Apache HttpClient, OkHttp, Spring RestTemplate, Spring WebFlux WebClient Jetty and Netty, the old and the new JDK HttpClient, the old and the new Jersey Client, Google HttpClient, Unirest, Retrofit, Feign, Methanol, vertx, Scala client Finagle, Featherbed, Dispatch Reboot, AsyncHttpClient, Sttp, Akka, Requests Scala, Http4s Blaze, Kotlin client Fuel, http4k, Kohttp and ktor. Also other server examples are available such as jersey with grizzly. Also gRPC, WebSocket and ElasticSearch examples are included
- tls
- truststore
- certificate
- keystore
Provides 9-patch based drop shadow for view elements. Works on API level 9 or later.
- android
- drop-shadow
- material-design
[Deprecated] This project can make it easy to theme and custom Android's dialog. Also provides Holo and Material themes for old devices.
- android
- dialog
- material-theme
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
- tensorflow
- tensorflow-tutorials
- mnist-classification
- mnist
Java utilities: DeepEquals, Converter, LRUCache, CompactMap/Set, CaseInsensitiveMap, UniqueIdGenerator, FastReader/Writer, and more. Zero dependencies, JDK 8+
Awesome list about everything related to J2ME. Documentation, academic papers, tutorials, communities, IDEs, SDKs, emulators, apps, video games.
- awesome-list
- j2me
- java
- javame
Set of support modules for Java 8 datatypes (Optionals, date/time) and features (parameter names)
- jackson
- hacktoberfest
- java-date
Accumulo backed time series database
- accumulo
- series-database
- time-series
- hacktoberfest
The Kinesis Scaling Utility is designed to give you the ability to scale Amazon Kinesis Streams in the same way that you scale EC2 Auto Scaling groups – up or down by a count or as a percentage of the total fleet. You can also simply scale to an exact number of Shards. There is no requirement for you to manage the allocation of the keyspace to Shards when using this API, as it is done automatically.