Search Results for "gmail source code" - Page 27

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.

EvoLab is a genetic programming system written in Java. This project is not active at the moment.

The Python Genetic Programming Project implements a Genetic Programming System a la J Koza in Python.

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.

Medical decision making algorithm tool. Visual design tool generates Tcl/Tk code. Non-programmers can design interactive algorithms. Generates notes for inclusion in medical record. Runs freestanding or in Tcl Plugin.

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.

This Meshula Kernel contains a reactive AI core, a high quality physics simulator, a math library, and assorted utility routines

Leanstral is an open-weight large language model developed by Mistral AI and specifically designed as a code agent for the Lean 4 proof assistant, enabling advanced interaction with formal mathematics and program verification systems. The model is built to understand and generate Lean 4 code, which is used to express complex mathematical constructs as well as formal software specifications. By focusing on theorem proving and formal reasoning, Leanstral represents a specialized direction...

Mellum-4b-base is JetBrains’ first open-source large language model designed and optimized for code-related tasks. Built with 4 billion parameters and a LLaMA-style architecture, it was trained on over 4.2 trillion tokens across multiple programming languages, including datasets such as The Stack, StarCoder, and CommitPack. With a context window of 8,192 tokens, it excels at code completion, fill-in-the-middle tasks, and intelligent code suggestions for professional developer tools and IDEs. ...

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.

This is a mirror site for downloads and forks. There is no documentation or issue tracking here. Please see the code issue tracking system on Bitbucket at https://bitbucket.org/taraathan/oojdrew

Generic engine to filter information. We wish to show that the power of expression of a filter makes it possible to appreciably reduce the size of the code necessary to extract information and that it is possible in Python.

using simple cuboids and gjk algorithm, this general purpose algorithm gives a ready made code to work with swissranger 3D camera.

** IMPORTANT NOTICE ** 10 Feb 2006 Code is being moved to the SMI subversion repository (http://smi-protege.stanford.edu/svn/owl/trunk/) Project will continue to be open source. ProtegeOWL info at: http://protege.stanford.edu/overview/protege-owl.html

OpenVLA 7B is a multimodal vision-language-action model trained on 970,000 robot manipulation episodes from the Open X-Embodiment dataset. It takes camera images and natural language instructions as input and outputs normalized 7-DoF robot actions, enabling control of multiple robot types across various domains. Built on top of LLaMA-2 and DINOv2/SigLIP visual backbones, it allows both zero-shot inference for known robot setups and parameter-efficient fine-tuning for new domains. The model...

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...