Search Results for "train"
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Showing 32 open source projects for "train"
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TCNOpen
Components for IEC61375 standardised communication
TCNOpen is an open source initiative which the partner railway industries created with the aim to build in collaboration some key parts of new or upcoming railway standards, commonly known under the name TCN. TCN (Train Communication Network) is a series of international standards (IEC61375) developed by Working Group 43 of the IEC (International Electrotechnical Commission), specifying a communication system for the data communication within and between vehicles of a train. It is currently in use on many thousands of trains in the world in order to allow electronic devices to exchange information while operating aboard the same train. ... -
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Tux Paint
An award-winning drawing program for children of all ages
...Along with paintbrush, shapes and text, Tux Paint includes a "stamp" feature to add pre-drawn or photographic imagery to pictures, and a set of "magic tools" that provide filter effects (like blur, tint and waves) and interesting drawing tools (like train tracks, bubbles and grass). Tux Paint includes a collection of "starter" images, both coloring-book style and photo-realistic, and a large collections of stamps are available as a separate download. Additional content can be added by parents & teachers, or downloaded from 3rd parties. Tux Paint is available for Windows, macOS, Android, Linux, & Haiku operating systems, among others. -
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FragGeneScan is an application for finding (fragmented) genes in short reads. It can also be applied to predict prokaryotic genes in incomplete assemblies or complete genomes. FragGeneScan was first released through omics website (http://omics.informatics.indiana.edu/FragGeneScan/) in March 2010, where you can find its old releases. FragGeneScan migrated to SourceForge in October, 2013.
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Llama 2 Everywhere (L2E)
Llama 2 Everywhere (L2E)
...The project focuses on simplicity and educational clarity by implementing inference for LLaMA-style models in a compact C program rather than relying on large machine learning frameworks. Developers can train models using a Python training pipeline and then run inference using a lightweight C implementation that requires very few dependencies. The architecture mirrors the structure of the LLaMA-2 model family, allowing compatible model checkpoints to be converted and executed within the simplified runtime environment. Because the implementation is intentionally minimal, it serves as a teaching tool for understanding how transformer architectures operate at a low level. -
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Alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
...This combines the LLaMA foundation model with an open reproduction of Stanford Alpaca a fine-tuning of the base model to obey instructions (akin to the RLHF used to train ChatGPT) and a set of modifications to llama.cpp to add a chat interface. Download the zip file corresponding to your operating system from the latest release. The weights are based on the published fine-tunes from alpaca-lora, converted back into a PyTorch checkpoint with a modified script and then quantized with llama.cpp the regular way. -
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en78
my attempt to create train simulator inspired by 20 yrs old "Mechanik"
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Train Invaders
Jupyter Notebook + Space Invaders
Training a model can be a long long process. In the meantime, have a bit of fun with a competitive space invaders game. See if you can get your name to the top of the leaderboard. -
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EVEAI is a Deep Learning Library based on python Keras and Tensorflow. EVEAI dll allows embedding inference images from keras models into user-written applications. Under Windows, the EVEAI training Tool provides services to train user specific image datasets and EVEAI dll provides services to existing Windows applications which support inference images. Please visit https://github.com/Hommoner/EVEAI for more information.
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Phlipple
Flipping squares will never be the same
...Elimination of squares is done by flipping edges around just like in a cardboard box. It starts off relatively easy to teach the basics just to later on serve hours of brain tickling fun. It's a great way to train memory as well as orientation in 3D. -
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Training Image Operators from Samples
Tools to train Image Operators automatically from a set of samples.
TRIOS - Training Image Operators from Samples is a set of tools to bring Image Processing closer to scientists in general. It is capable of estimating an operator between two images using only pairs of samples that contain an input image and the desired output. The operator is saved to a file and can be applied to any image. -
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An Affero GPL-licensed library to load, query and search the integrated fares database used by all British train operating companies.
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Direct-Bluetooth-Train-Control (DBTC)
The DBTC project develops Bluetooth model train control S/W and F/W.
*** Note “BlueTrain.x.zip” is encrypted while awaiting hardware for this F/W.*** The “Open-Source-Bluetooth-Train-Control” group at TrainBoard.com provides direction for this project. The public thread is here: http://www.trainboard.com/highball/index.php?threads/the-open-source-bluetooth-train-control-thread.79261/page-4#post-963231. The private groups are no longer available at TrainBoard.com. The first purpose of this project is to promote open-interfaces for DBTC. ... -
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GloVe
GloVe model for distributed word representation
...Pre-trained word vectors are made available under the Public Domain Dedication and License. If the web datasets above don't match the semantics of your end use case, you can train word vectors on your own corpus. The demo.sh script downloads a small corpus, consisting of the first 100M characters of Wikipedia. It collects unigram counts, constructs and shuffles cooccurrence data, and trains a simple version of the GloVe model. It also runs a word analogy evaluation script in python to verify word vector quality. -
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C/C++ Perceptron
A Perceptron library for C/C++
The library enables to create perceptrons with desired number of inputs and customized train rate. It enables to train the perceptrons according to the user input. Check the Wiki page for usage examples and API -
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pgfann
Neural network library fann for serverside PostgreSQL context
this server side PostgreeSQL extension enables developer to create, store, train and apply artificial neural networks in the serverside context of PostgreSQL. It is based on fann, the Fast Artificial Neural Network Library by Steffen Nissen (Thanks!). -
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GeneticFighters
An experiment with genetic algorithms and arena combat
Genetic algorithms using assembly-instructions as a stand-in for DNA train killbots in an arena. A dynasty of fighters bred for battle charge the field. The worthy take mates while the losers are cast into the void. But how do we judge a true warriors spirit? By the number notches on his sword? By his deftness of feet? Or possibly whether or not he even took a single bloody step last round, because sometimes that's all we can hope for. -
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With this application you can train your arithmetic! Addition, subtraction, multiplication and division! Try this application!
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A collection of compact, powerful programs and functions, written in C, for the analysis and transformation of data. No object or structure dependencies, no fancy interfaces - just good tools.
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Yann is Yet Another Neural Network. Yann is a library to create fast neural networks. It is also a GUI to easily create, edit, train, execute and investigate networks. Multiple topologies, runtime properties and ensemble learning are supported.
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With miao3d you can train a specific Gaussian Markov Random Field (GMRF) that then can be used to estimate a depthmap ("3D"), given an image ("2D"). A GUI allows inspection of the image + depthmap.
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Don't miss you train ! Put your train schedules on your palm. The PalmOS program allows for easy displaying of train schedules. The converter allows to convert on your PC the schedules from a CSV format to the PDB file format used on Palm handhelds.
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A packet dissector driven by machine learning algorithms. You train it to recognize specific types of packets by showing it examples and counterexamples of some packet type, and it will figure out which bits in the packet define it as the type you seek.
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FANNshell is a command-line wrapper for the FANN (Fast Artificial Neural Net) library. It provides an easy way to create, train, test, import, and export FANN neural nets via the shell.
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