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Skillfully - The future of skills based hiring
Realistic Workplace Simulations that Show Applicant Skills in Action
Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
Network gaming environment for AI warriors. Offers an application server, a soccer game application, an observer module visualizing a match and a template code for the warriors development.
openevo is a project started to find out about behaviour of evolutionary generated machine code. It implements a certain set of CPU instruction codes and a few interrupts for interaction with the runtime environment.
Csolve is a constraint solver compiler. It compiles a set
of constraints into an arc-consistency algorithm.
Generated output is in the C language and can be linked
with existing code. Csolve
also contains libraries for standard instantiation method
Quake II Weapons Facotry (THE Team fortress for Quake II) meets Quake III Arena WFA. The engine is founded on Q2 GPL code, and uses the WFA media. Visit the main website for more details.
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Fasttype is a userspace program that delivers a hashed list of words hashed into SMS like code. But with one major difference this program works via your Numpad.
Emily is a friendly name for the Machine Learning Environment (MLE). This project is at an early stage of development, and no alpha code is yet available.
Pangaea will be a robust and feature filled game engine built using Allegro (http://alleg.sourceforge.net) It will be similar to Final Fantasy 1-3, etc., complete with map editor/world builder.
There are lots of bots out for Half-Life. Many closed source or Windows only. All of them are based on Botmans Code ( http://www.planethalflife.com/botman ). The goal of this project is to make a self-learning, waypointless, opensource, Linux+Win. Bot
Inventors: Validate Your Idea, Protect It and Gain Market Advantages
SenseIP is ideal for individual inventors, startups, and businesses
senseIP is an AI innovation platform for inventors, automating any aspect of IP from the moment you have an idea. You can have it researched for uniqueness and protected; quickly and effortlessly, without expensive attorneys. Built for business success while securing your competitive edge.
Tourk is a framework for developing programming games, where two (or more) people write game playing code (like Deep Blue) and a controller puts the two against each other.
Virtual machine/emulator; "holding pen" for self-replicating programs written in custom RISC assembly-like language, evolving via random point mutations and periodic fitness-based cullings. Inspired (like Avida) by Thomas Ray's alife simulator, Tierra
Faile is a free chess program which plays a fairly strong game of chess (Expert strength or better). One of the main goals of Faile is to provide a full featured chess program with source code which is tidy, well documented, and easy to understand.
This is an open source state machine template for C++. Initially FSM support will be given. The purpose is to facilitate developers to create state machine based C++ applications easily.
A low code unified framework for computer vision and deep learning
Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers.
There are three libraries in this opensource set.
- Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms.
- Monk Object Detection -...
Portuguese ASR model fine-tuned on XLSR-53 for 16kHz audio input
wav2vec2-large-xlsr-53-portuguese is an automatic speech recognition (ASR) model fine-tuned on Portuguese using the Common Voice 6.1 dataset. It is based on Facebook’s wav2vec2-large-xlsr-53, a multilingual self-supervised learning model, and is optimized to transcribe Portuguese speech sampled at 16kHz. The model performs well without a language model, though adding one can improve word error rate (WER) and character error rate (CER). It achieves a WER of 11.3% (or 9.01% with LM) on Common...
Framework for modelling of Natural General Intelligence. This project aims at creation of open source AGI (Artificial General Intelligence) through modelling of natural thinking. See http://roland.pri.ee/bakalaureusetoo/ for theoretical details.