Posts
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OpenNMT-tf
Neural machine translation and sequence learning using TensorFlow
OpenNMT-tf is a general purpose sequence learning toolkit using TensorFlow 2. While neural machine translation is the main target task, it has been designed to more generally support:
- sequence to sequence mapping
- sequence tagging
- sequence classification
- language modeling
The project is production-oriented and comes with backward compatibility guarantees.
Tags: #python β’ neural-machine-translation β’ tensorflow
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Self-Driving-Car-in-Video-Games
A deep neural network that learns to drive in video games
We provide pretrained T.E.D.D. 1104 models that you can use for real-time inference :)
The models are trained using 130 GB of human labelled data.
The model has been trained in first-person-view with a route to follow in the minimap.
The model has learned to drive a large variety of vehicles in different weather conditions (Sun, night, sunny, rainβ¦). See Software and HOW-TO Section for instructions on how run the models.Tags: #python β’ pytorch β’ self-driving-car
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Leonids
A Particle System for standard Android UI: http://plattysoft.github.io/Leonids/
Leonids is available in jcenter as well as a jar file to fit both Android Studio and Eclipse.
Tags: #java
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core
Source Code for dotCMS Headless/Hybrid Content Management System
dotCMS comes in multiple editions and as such is dual licensed. The dotCMS Community Edition is licensed under the GPL 3.0 and is freely available for download, customization and deployment for use within organizations of all stripes. dotCMS Enterprise Editions (EE) adds a number of enterprise features and is available via a supported, indemnified commercial license from dotCMS. For the differences between the editions, see the feature page.
Tags: #java β’ dotcms β’ cloud
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ct-js
Ct.js is a desktop game engine that makes learning programming fun and game development easy by its visual editors and well-documented code library
Ct.js is a project maintained by CoMiGo, and programmed mainly by them as well, with little support from dear contributors and translators. And it sucks! Ct.js is a good game editor, but can be the best one, and one developer is not enough to transition it from a dream to a reality.
If you are willing to participate in ct.jsβ future, contact me at Discord (CoMiGo#1234) or Telegram (@CoMiGo). Or jump straightly to the main dev board for current issues.
Tags: #javascript β’ gamedev β’ game-engine
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samson
Web interface for deployments, with plugin architecture and kubernetes support
Create a project and 1 or more stages (staging/production etc), then selects a version and start the deploy.
Samson will:
- clone git repository
- execute commands associated with the stage (or execute API calls for kubernetes)
- stream deploy output to everybody who wants to watch
- persist deploy output for future review
Tags: #ruby β’ kubernetes β’ cd
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howitzer
A Ruby-based framework for acceptance testing
- Independent of a web application technical stack, language and architecture.
- Fast installation and configuration of the complete testing infrastructure (takes less than 5 minutes).
- Elegant, intuitive and powerful Ruby language underneath.
- Possibility to choose your favorite BDD tool (Cucumber, RSpec or Turnip).
- Integration with SauceLabs, Testingbot, BrowserStack, CrossBrowserTesting, LambdaTest cloud services.
- Integration with MailGun, Gmail, Mailtrap email services.
- Easy tests support based on the best patterns, techniques, principles.
- Ability to execute tests against to both browserless driver and actual browsers with no changes in your tests.
Tags: #ruby β’ howitzer β’ cucumber
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minds
mirror of https://gitlab.com/minds/minds
Minds is an open-source, encrypted and reward-based social networking platform. https://minds.com
Tags: #php β’ angular β’ blog
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torchlayers
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
- Shape inference for most of
torch.nnmodule (convolutional, recurrent, transformer, attention and linear layers) - Dimensionality inference (e.g.
torchlayers.Convworking astorch.nn.Conv1d/2d/3dbased oninput shape) - Shape inference of custom modules (see examples section)
- Additional Keras-like layers (e.g.
torchlayers.Reshapeortorchlayers.StandardNormalNoise) - Additional SOTA layers mostly from ImageNet competitions (e.g. PolyNet, Squeeze-And-Excitation, StochasticDepth)
- Useful defaults (
"same"padding and defaultkernel_size=3forConv, dropout rates etc.) - Zero overhead and torchscript support
Keep in mind this library works almost exactly like PyTorch originally. What that means is you can use
Sequential, define your own networks of any complexity usingtorch.nn.Module, create new layers with shape inference etc.See below to get some intuition about library.
Tags: #python β’ pytorch β’ inference
- Shape inference for most of
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ImmersivePortalsMod
Non-Euclidean in Minecraft. See through portals and teleport seamlessly.
Itβs a minecraft mod.
https://www.curseforge.com/minecraft/mc-mods/immersive-portals-mod
Tags: #java β’ minecraft-mod β’ portal
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