Search Results for "machine" - Page 2
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Showing 47 open source projects for "machine"
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Cut Your Data Warehouse Bill by 54%BigQuery delivers 54% lower TCO with serverless scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Create and Host Web Forms For All
Only Text Editing Skills Required - Convert All Paper Based Forms
Please click the Files Tab above to get all the flavours / related files of this system. ( Right Click Each File, to Open Them in New Tab, one by one, to download them all ) Have a look at the Video below for details. Refer Wiki for more instructions. if you are new to Virtual Machines, then please watch the video below Notes: For Security Reasons, you may change the name of your new ( form ) folder, to a single large word like... -
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Buck
Build system that encourages the creation of small, reusable modules
...It encourages the creation of small, reusable modules consisting of code and resources, and supports a variety of languages on many platforms. Buck builds independent artifacts in parallel to take advantage of multiple cores on your machine. Further, it reduces incremental build times by keeping track of unchanged modules so that the minimal set of modules is rebuilt. Buck only uses the declared inputs, which means everybody gets the same results. Buck looks at the contents of your inputs, not their timestamps to figure out what needs to be built. As a result, incremental builds should always be correct, so there's no need to perform a clean build. ... -
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X11-Basic
A BASIC interpreter and compiler with graphics.
X11-Basic is a dialect of the BASIC programming language with graphics capability that integrates features like shell scripting, cgi-Programming and full graphical visualisation into the easy to learn basic language on modern computers. -
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SoloPi
SoloPi Automated Testing Tool
SoloPi is a wireless, non-intrusive Android automation tool. The public beta version has three main functions: recording and playback, performance testing, and multiple controls on one machine, which can save valuable time for test developers. SoloPi has the ability to record operations. Users only need to execute the use case steps through SoloPi, and SoloPi can record the user's operations and support playback on various devices, all of which can be done independently on the mobile phone. See the recording and playback section for details. ... -
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes... -
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TNN
Uniform deep learning inference framework for mobile
TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's... -
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MMdnn
Tools to help users inter-operate among deep learning frameworks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks,... -
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The LiquidCore Project
Node.js virtual machine for Android and iOS
...The bundler uses Metro to package up all of your required node modules into a single file that can be packaged as a resource in your app. If you are running on the Android Emulator or iOS Simulator, you can run a local server on your development machine and hot-edit your JavaScript code. -
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abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models,... -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI Studio. Switch between models without switching platforms.
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FIND3
High-precision indoor positioning framework, version 3
...Passive scanning built-in (previously required a separate server). Support for Bluetooth scanning in scanning utility (previously just WiFi). Meta-learning with 10 different machine learning classifiers (previously just three). Client uses Websockets+React which reduces bandwidth (and coding complexity). Rolling compression of MAC addresses for much smaller on-disk databases. Data storage in SQLite-database (previously it was BoltDB). Released under MIT license (more commercially compatible than AGPL). The API for sending fingerprints (/track and /learn) and MQTT endpoints are backward compatible. -
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mui
High-performance framework closest to native APP experience
...The browser’s natural page-cutting white screen, the unbearable turning animation, the jittering of floating elements, and the inability to pull down to refresh smoothly, all of which frustrate HTML5 developers, especially when they get a low-end Android machine to run, and the phone falls. On the other hand, the browser default control styles are few and ugly, making a beautiful control is very troublesome, and there are some simple UI frameworks but low performance. The mui framework effectively solves these problems. This is a framework that can facilitate the development of high-performance apps, and it is also the framework that is closest to the effect of native apps. -
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Freeline
A fast build tool for Android, an alternative to Instant Run
Freeline is a super fast build tool for Android and an alternative to Instant Run. Caching reusable class files and resource indices, it enables incremental building Android apps, and optionally deploying the updates to your device by hot swap. Developed and used by Ant Fortune (about us) Android Team, Freeline has been significantly saving time in daily work. Inspiring by Buck and Instant Run but faster than ever, Freeline can make an incremental build in just a few seconds. No more... -
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VCL4J - Free Pascal VCL 4 Java/Android
Develop Java/Android applications using FreePascal JVM & VCL4J
...Please contact me if you want to contribute. This is the start of what will most likely take a year to complete. I plan on writing a FCL/VCL style library in Pascal which will compile for the Java Virtual Machine (JVM) using FreePascal. Useful Links: Java https://java.com/en/download/ Lazarus https://sourceforge.net/projects/lazarus/ FreePascal JVM http://wiki.freepascal.org/FPC_JVM -
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nunn
This is an implementation of a machine learning library in C++17
nunn is a collection of ML algorithms and related examples written in modern C++17. -
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neural network designer
a dbms for neural nets. Chatbots, DTrees, random forests, n-grams,...
This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer,... -
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jWAM
A 100% Java Warren Abstract Machine implementation.
jWAM is a 100% Java Warren Abstract Machine implementation. Currently it is still under development though all the basic functionalities (compiling, resolution) are working. As far as I know this is the only open source Java based implementation out there that does not simplify Warren's design. I have done some comparison's with other Java based Prolog engine's and jWAM does seem to outperform them all quite well (tuProlog, JLog, JIP, jTrolog). -
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MPL
Minimal programming language
The goal of this project is to define a minimal programming language which can be implemented very easily on any platform. -
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OpenSkyNet - Moving towards a comprehensive artificial intelligence solution for game developers under the LGPL. The goals are to implement action selection solvers, robust steering behaviors (including pathfinding algorithms), and machine learning.
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espeak-tswana is a branch of espeak project implementing Setswana (A Southern African Bantu speaking language) .
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Scalable Language API (SLAPI) The most comprehensive architecture for conversational natural-language applications including speech recognition/synthesis, semantics, & machine translation. Used on Android & other mobile app platforms.
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