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Showing 1510 open source projects for "git:/git.code.sf.net/p/docfetcher/code"
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Safety Compliance Made EasyIdeally designed for business that deals with Construction, Oil & Gas, Mining, Manufacturing, Mechanical, Electrical, Plumbing, Heating, and Excavating, SiteDocs is a perfect solution for any size business looking to modernize the way Safety Compliance is organized.
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E-commerce Fulfillment For Scaling BrandsFlowspace delivers fulfillment excellence by pairing powerful software and on-the-ground logistics know-how. Our platform provides automation, real-time control, and reliability beyond traditional 3PL capabilities—so you can scale smarter, faster, and easier.
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kcws
Deep Learning Chinese Word Segment
...Change to the code directory.After installing tensorflow, switch to the kcws code directory. Currently, the custom dictionary is supported in the decoding stage. Please refer to kcws/cc/test_seg.cc for specific usage. The dictionary is in text format. -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
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Portable Robotics Eye Vergence Control
Eye movements control portable on different robotic stereo heads
...The project allows a robust control and adaptive binocular coordination for different robot stereo platforms. Reference publications: Gibaldi, A., Vanegas, M., Canessa, A., & Sabatini, S. P. (2017). A portable bio-inspired architecture for efficient robotic vergence control. International Journal of Computer Vision,. Gibaldi, A., Canessa, A., Chessa, M., Sabatini, S. P., & Solari, F. (2011, October). A neuromorphic control module for real-time vergence eye movements on the iCub robot head. In Humanoid Robots (Humanoids), 2011 -
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Tangent
Source-to-source debuggable derivatives in pure Python
Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. Tangent is useful to researchers and students who not only want to write their models in Python, but also read and debug automatically-generated derivative code without sacrificing speed and flexibility. ... -
Supercharge Your Manufacturing with Easy MRP and MES SoftwareFlowlens eliminates stock-outs, shortage and overstocks, avoiding costly production delays. Stay in control of inventory levels and keep production running smoothly with real-time visibility and easy-to-use stock management. Import bulk data with ease.
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C++ Fuzzy Logic Programming Library - For problem solving in the fuzzy logic domain. It has an object oriented API well suited to C++ syntax for direct inclusion in source code. Portable to platforms that support the C++ STL.
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Five video classification methods
Code that accompanies my blog post outlining five video classification
Classifying video presents unique challenges for machine learning models. As I’ve covered in my previous posts, video has the added (and interesting) property of temporal features in addition to the spatial features present in 2D images. While this additional information provides us more to work with, it also requires different network architectures and, often, adds larger memory and computational demands.We won’t use any optical flow images. This reduces model complexity, training time, and... -
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EasyPR
An easy, flexible, and accurate plate recognition project
EasyPR is an open-source license plate recognition system designed to detect and recognize vehicle license plates from images using computer vision and machine learning techniques. The project focuses primarily on recognizing Chinese license plates but also demonstrates general approaches to automatic number plate recognition systems. Built on top of the OpenCV computer vision library, EasyPR provides algorithms for detecting license plate regions in images, segmenting characters, and... -
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Seq2Seq Chatbot
Chatbot in 200 lines of code using TensorLayer
Seq2Seq Chatbot is an implementation of a sequence-to-sequence chatbot model using TensorLayer, demonstrating how to build conversational agents with minimal code. -
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auto_ml
Automated machine learning for analytics & production
...Here's an example that includes serializing and loading the trained model, then getting predictions on single dictionaries, roughly the process you'd likely follow to deploy the trained model. Before you go any further, try running the code. Load up some data (either a DataFrame, or a list of dictionaries, where each dictionary is a row of data). Make a column_descriptions dictionary that tells us which attribute name in each row represents the value we’re trying to predict. Pass all that into auto_ml, and see what happens! You can pass in your own function to perform feature engineering on the data. ... -
Jscrambler: Pioneering Client-Side Protection PlatformJscrambler is the leader in Client-Side Protection and Compliance. We were the first to merge advanced polymorphic JavaScript obfuscation with fine-grained third-party tag protection in a unified Client-Side Protection and Compliance Platform. Our integrated solution ensures a robust defense against current and emerging client-side cyber threats, data leaks, and IP theft, empowering software development and digital teams to innovate securely. With Jscrambler, businesses adopt a unified, future-proof client-side security policy all while achieving compliance with emerging security standards including PCI DSS v4.0. Trusted by digital leaders worldwide, Jscrambler gives businesses the freedom to innovate securely.
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10
Lip Reading
Cross Audio-Visual Recognition using 3D Architectures
The input pipeline must be prepared by the users. This code is aimed to provide the implementation for Coupled 3D Convolutional Neural Networks for audio-visual matching. Lip-reading can be a specific application for this work. Audio-visual recognition (AVR) has been considered as a solution for speech recognition tasks when the audio is corrupted, as well as a visual recognition method used for speaker verification in multi-speaker scenarios. -
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Computational Linear Algebra for Coders
Free online textbook of Jupyter notebooks
...The project presents linear algebra concepts from a practical perspective focused on how computers perform matrix operations efficiently and accurately. The course materials are organized as Jupyter notebooks that combine explanations, code demonstrations, and exercises. Instead of emphasizing purely theoretical mathematics, the project takes a programming-oriented approach that helps developers understand how linear algebra algorithms are implemented in real computational systems. The course explores topics such as matrix decomposition, numerical stability, and optimization techniques that are essential for machine learning and data science applications. -
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Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4. -
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vue-tetris
Use Vue, Vuex to code Tetris
vue-tetris is a browser-based implementation of the classic Tetris game built using the Vue.js framework, showcasing both game development concepts and modern frontend engineering practices. The project demonstrates how reactive state management and component-based architecture can be used to create interactive and dynamic applications. It includes core gameplay mechanics such as piece rotation, collision detection, line clearing, and score tracking, all implemented within a clean and... -
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Devanagari OCR
Devanagari Optical Character Recognition, Annotation tool
The project has source code and data related to the following tools: 1. Optical Character Recognition. Recognize machine printed Devanagari with or without a dictionary. 2. Document Image Analysis. Automatic page segmentation of document images in multiple Indian languages. Identifies pictures, lines, and words in a document scanned at 300 dpi. 3. -
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TensorFlow World
Simple and ready-to-use tutorials for TensorFlow
This repository aims to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. There are different motivations for this open source project. TensorFlow (as we write this document) is one of / the best deep learning frameworks available. The question that should be asked is why has this repository been created when there are so many other tutorials about TensorFlow available on the web? Deep Learning is in very high... -
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C# Speech Recognition Tutorial
C# Speech Recognition Tutorial
This is an easy (as can be) tutorial to show how speech recognition is done with in C#. On the form the button is pressed, and within 5 seconds say your speech. In this example Q and B act as commands. The code filters the recognised words looking for the letter Q and B. File contains the source code-use this to make the simple form with the named elements in the image-in a new winforms program. The pdf file in the zip file explains how to link the voice recognition to a database. -
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ECO
Matlab implementation of the ECO tracker
ECO (Efficient Convolution Operators for Tracking) is a high-performance object tracking algorithm developed by Martin Danelljan and collaborators. It is based on discriminative correlation filters and designed to handle appearance changes, occlusions, and scale variations in visual object tracking tasks. The code provides a MATLAB implementation of the ECO and ECO-HC (high-speed) variants and was one of the top performers on multiple visual tracking benchmarks. -
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Caffe
A fast open framework for deep learning
Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and a great community of contributors that continue to make Caffe state-of-the-art in both code and models. ... -
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FormRead
Free OMR - OCR web sofware based on javascript and PHP
https://formread.org FormRead is a completely free OMR (optical mark recognition) web software for scanning and grading user-filled, multiple choice forms. Create your formats with any of your office or drawing tools, scan them and parameterize their coordinates in an easy way. Once you have parameterized your form, you can print many of them, give it to your students/respondents, scan and recognize them with formread, and you can finally export the data in your preferred formats... -
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MYRA
A collection of ACO algorithms for the data mining classification task
...It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values. This project is now hosted at: https://github.com/febo/myra -
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BWEM
Fast and robust map analyser for Brood War.
Brood War Easy Map is a C++ library that analyses Brood War's maps and provides relevant information such as areas, choke points and base locations. It is built on top of the BWAPI library. It first aims at simplifying the development of bots for Brood War, but can be used for any task requiring high level map information. It can be used as a replacement for the BWTA2 add-on, as it performs faster and shows better robustness while providing similar information. -
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Grenade
Deep Learning in Haskell
Grenade is a composable, dependently typed, practical, and fast recurrent neural network library for concise and precise specifications of complex networks in Haskell. Because the types are so rich, there's no specific term level code required to construct this network; although it is of course possible and easy to construct and deconstruct the networks and layers explicitly oneself. Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only the layers of the network but also the shapes of data that are passed between the layers. ... -
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Claudia Bot Builder
Create chat bots for Facebook Messenger, Slack, Amazon Alexa, etc.
...It simplifies the messaging workflows, automatically sets up the correct web hooks, and guides you through configuration steps, so that you can focus on important business problems and not have to worry about infrastructure code. This code is enough to operate bots for all supported platforms. Claudia Bot Builder automatically parses the incoming messages into a common format, so you can handle it easily. It also automatically packages the response into the correct message template for the requesting bot, so you do not have to worry about individual bot protocols. ... -
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Universe
Software for measuring and training an AI's general intelligence
...Universe allows anyone to train and evaluate AI agents on an extremely wide range of real-time, complex environments. Universe makes it possible for any existing program to become an OpenAI Gym environment, without needing special access to the program's internals, source code, or APIs. It does this by packaging the program into a Docker container, and presenting the AI with the same interface a human uses: sending keyboard and mouse events, and receiving screen pixels. Our initial release contains over 1,000 environments in which an AI agent can take actions and gather observations. -
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HashingBaselineForImageRetrieval
Various hashing methods for image retrieval and serves as the baseline
This repository provides baseline implementations of deep supervised hashing methods for image retrieval tasks using PyTorch. It includes clean, minimal code for several hashing algorithms designed to map images into compact binary codes while preserving similarity in feature space, enabling fast and scalable retrieval from large image datasets.
