Search Results for "machine" - Page 84
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Showing 4715 open source projects for "machine"
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Archive of Formal Proofs
A collection of machine-checkend mathematical proofs
The Archive of Formal Proofs is a collection of proof libraries, examples, and larger scientifc developments, mechanically checked in the theorem prover Isabelle. It is organized in the way of a scientific journal. Submissions are refereed. -
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Lambda Networks
Implementation of LambdaNetworks, a new approach to image recognition
Implementation of λ Networks, a new approach to image recognition that reaches SOTA on ImageNet. The new method utilizes λ layer, which captures interactions by transforming contexts into linear functions, termed lambdas, and applying these linear functions to each input separately. Shinel94 has added a Keras implementation! It won't be officially supported in this repository, so either copy / paste the code under ./lambda_networks/tfkeras.py or make sure to install tensorflow and keras... -
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Virage GNU/Linux
The (alter)native distro for audio/video works
Virage GNU/Linux is a spanish distro speciallized and optimized for audio/video works, developed by Salvador Gómez (Wamphyre). Virage GNU/Linux is 100% based on the STABLE branch of Devuan (A Debian fork without systemd) and uses the same repositories to mantain stability and coherence bring on Devuan. -
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gradslam
gradslam is an open source differentiable dense SLAM library
gradslam is an open-source framework providing differentiable building blocks for simultaneous localization and mapping (SLAM) systems. We enable the usage of dense SLAM subsystems from the comfort of PyTorch. The question of “representation” is central in the context of dense simultaneous localization and mapping (SLAM). Newer learning-based approaches have the potential to leverage data or task performance to directly inform the choice of representation. However, learning representations... -
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Parsr
Transforms PDF, Documents and Images into Enriched Structured Data
Parsr is an open-source document parsing tool that converts PDFs, scanned images, and other structured documents into structured, machine-readable data formats. -
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TFLearn
Deep learning library featuring a higher-level API for TensorFlow
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorials and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, and metrics. Full transparency... -
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NLP Architect
A model library for exploring state-of-the-art deep learning
NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. NLP Architect is a... -
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Python Tutorials
Machine Learning Tutorials
...This includes foundational Python concepts, data processing with libraries like NumPy and pandas, threading and multiprocessing for concurrency, and practical use of libraries such as Matplotlib for data visualization. It also provides tutorials on machine learning frameworks and concepts, including TensorFlow, PyTorch, Keras, Scikit-Learn, and reinforcement learning techniques. Each section contains organized code and explanations designed to help learners understand the underlying mechanics of Python and common computational approaches. -
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Old Linux Distribution Archive
Collection of old Linux distribution media and packages
This project seeks to collect Linux distributions that are no longer updated or maintained, so that the intellectually curious can check them out (hopefully in a virtual machine). -
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Encode_LV
LabVIEW VIs for ZLib compression and Base64/binhex encoding
These VIs use C-based DLL access to ZLib (https://zlib.net/) and ASCII encode/decode. The VIs and development files are included in this package. You are most likely to be running this from a Windows machine which means that loading the LabVIEW code will generate an error. This is due to the LabVIEW code pointing to the Linux SO instead of the DLL. To fix it, double-click on the CLFN VIs and browse to DLL. -
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Effective TensorFlow 2
TensorFlow tutorials and best practices
Effective Tensorflow is an open-source repository that provides tutorials and best practices for developing machine learning models using the TensorFlow framework. The project focuses on helping developers write efficient, maintainable, and reliable TensorFlow code when building deep learning systems. It includes practical guidelines that explain common pitfalls in neural network training, such as numerical instability and gradient-related issues. -
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PyArmadillo
linear algebra library for Python
PyArmadillo - streamlined linear algebra library for Python, with emphasis on ease of use. Alternative to NumPy / SciPy. * Main page: https://pyarma.sourceforge.io * Documentation: https://pyarma.sourceforge.io/docs.html * Bug reports: https://pyarma.sourceforge.io/faq.html * Git repo: https://gitlab.com/jason-rumengan/pyarma -
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Ubik Code IDE II
New programming language simple, free, secure, open-source.
The Ubik Code IDE is used to debug and edit programs in Ubik Code. The Ubik Code is a powerful object-oriented programming language. Examples of programs are available in the "Ubik Samples" folder. To learn programming in Ubik Code. Documentation : http://ubikdoc.tk/ More Informations : http://ubik.tk/ http://ubikcodeide.cf/ Open-Source: https://github.com/Alan-Kubiak-Zero-One/The-Ubik-Code -
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fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models... -
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Neural Networks Collection
Neural Networks Collection
This project implements in C++ a bunch of known Neural Networks. So far the project implements: LVQ in several variants, SOM in several variants, Hopfield network and Perceptron. Other neural network types are planned, but not implemented yet. The project can run in two modes: command line tool and Python 7.2 extension. Currently, Python version appears more functional, as it allows easy interaction with algorithms developed by other people. -
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PH_Playground
Simple solution for testing and documenting short code snippets.
...Enter the code to be tested into the "PHP" or "JS" window and press "Run". The result will appear as Rendered or Raw HTML as you choose. In the background the code has been saved to a log file. Works on any machine running PHP. Log files are found in the Playground.log directory, sorted by year and month. A new log file is started every day and numbered accordingly. Warning! Do not use this program on a production site! -
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CODON SOFTWARE
The dataset and codon project files are available here.
...To assist with this problem, we present CODON, a tool for the prediction, annotation, and manual curation of genomic data. This software makes use of a finite state machine in the prediction process and automatically annotates products based on information obtained from the Uniprot database. CODON is equipped with a simple and intuitive graphic interface that assists with manual curation, providing the user with decision making abilities throughout the analysis including in identity, length of alignment, and name of the organism in which the product obtained a hit. -
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img
Standalone, daemon-less, unprivileged Dockerfile and OCI
...Running unprivileged allows companies who use LDAP and other login mechanisms to use img without needing root. This is very important in HPC environments and academia as well. Currently, this works out of the box on a Linux machine if you install via the directions covered in installing from binaries. This installation will ensure you have the correct version of img and also runc. -
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GIMP ML
AI for GNU Image Manipulation Program
This repository introduces GIMP3-ML, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on... -
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obfusc
toolchain for obfuscated compilation
This is a C compiler, assembler, linker and virtual machine for computing based on encrypted working and obfuscated compilation and execution. The idea is that the platform machine `works encrypted' for the user and unencrypted for the operator, running a machine code instruction set in user mode that is provably safe against computational attacks, for code that is generated by a compiler that has introduced random variations into the code at each recompilation so that the attacker has no statistical leverage from human programming biases. -
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scalalab
A MATLAB like environment for Scala
The ScalaLab project aims to provide an efficient scientific programming environment for the Java Virtual Machine. The scripting language is based on the Scala programming language enhanced with high level scientific operators and with an integrated environment that provides a MATLAB-like working style. Also, all the huge libraries of Java scientific code can be easily accessible (and many times with a more convenient syntax). TA major design priority of ScalaLab is its user-friendly interface. ... -
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wav2letter++
Facebook AI research's automatic speech recognition toolkit
First, install Flashlight (using the 0.3 branch is required) with the ASR application. This repository includes recipes to reproduce the following research papers as well as pre-trained models. All results reproduction must use Flashlight <= 0.3.2 for exact reproducibility. At least one of LZMA, BZip2, or Z is required for LM compression with KenLM. It is highly recommended to build KenLM with position-independent code (-fPIC) enabled, to enable python compatibility. After installing, run... -
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Turi Create
Simplifies the development of custom machine learning models
Turi Create simplifies the development of custom machine learning models. You don't have to be a machine learning expert to add recommendations, object detection, image classification, image similarity or activity classification to your app. If you want your app to recognize specific objects in images, you can build your own model with just a few lines of code. Turi Create supports macOS 10.12+, Linux (with glibc 2.10+), Windows 10 (via WSL). -
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Tensorflow 2017 Tutorials
Tensorflow tutorial from basic to hard
...Beyond the basics, the project includes examples of convolutional neural networks, recurrent networks, autoencoders, reinforcement learning, generative adversarial networks, and transfer learning workflows. By pairing code examples with conceptual explanations, the tutorials make abstract machine learning ideas accessible and encourage experimentation with TensorBoard visualization and distributed training. -
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NoisePage
Self-Driving Database Management System
NoisePage is a relational database management system (DBMS) designed from the ground up for autonomous deployment. It uses integrated machine learning components to control its configuration, optimization, and tuning. The system will support automated physical database design (e.g., indexes, materialized views, sharding), knob configuration tuning, SQL tuning, and hardware capacity/scaling. Our research focuses on building the system components that support such self-driving operations with little to no human guidance. ...
