Search Results for "pyscripter python 2" - Page 115
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Showing 3273 open source projects for "pyscripter python 2"
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A gnome mathematical GUI designed to be a central tool where you can launch various other existing mathematical tools. It now supports Numerical Python Session, and more soon.
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The GNUton project is a re-implementation of the (defunct) Apple Newton platform. It consists of the virtual machine, storage architecture and templates for GUI and general OS features. It aims to support execution of existing pure NewtonScript packages
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A simple perl (or python) CGI that exports the MainLine of a CVS repository as a website. In use since 1998, recently added Subversion support to help migrate away from CVS.
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Network-centric Graphic/Photo database program with web-based interface, automatic thumbnail generation, flexible indexing, and automatic file updates.
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Pfem is a python-based finite element program aimed at solving solid mechanics and heat transfer problems with flexibility, efficiency and sound object-oriented design.
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Monty's Postcard Server is an CGI application written in Python that makes putting up a Postcard Server a breeze. The only thing the Admin has to do is to supply the Images. Everything is configurable of cause!
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The Domain User Administration System (DUAS) provides a convenient way for system administrators to efficiently manage users and groups on many machines.
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Copter! is a SimCopter clone written in C++. Copter! will feature much more than the original SimCopter, and will be very moddable through it's modular design. Mods will be released which allow the player to be a policeman, or other characters.
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Pingo provides Platform INdependent Graphics Objects for python. Based around a hierarchy of Containers which inherit their parents' style attributes and coordindate spaces, it provides an object-based representation for vector graphics
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MudMaker is a multi-user dungeon (MUD) game engine written in Python. It has some loose influences from diku MUD and derivatives. But while diku et al are combat-battle oriented, mudmaker is more social and quest oriented.
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... aims to be a library providing access to a base of extensions related to specific computer security tasks (scanning, vulnerability checks etc) implemented as Extensions (in Python for now), which are interdependent due to the provide/require mechanism
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ACF is a framework for writing model-checkers. ACF is built on the fundamental observation that the structure of most model-checking algorithms is independent of the formalism used to describe the system.
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A library written in python designed to serve as a back-end for music library managers. This library will provide collection management, file organization, metadata collection, and other components useful for developing music managing applications.
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phi-2
Small, high-performing language model for QA, chat, and code tasks
Phi-2 is a 2.7 billion parameter Transformer model developed by Microsoft, designed for natural language processing and code generation tasks. It was trained on a filtered dataset of high-quality web content and synthetic NLP texts created by GPT-3.5, totaling 1.4 trillion tokens. Phi-2 excels in benchmarks for common sense, language understanding, and logical reasoning, outperforming most models under 13B parameters despite not being instruction-tuned or aligned via RLHF. It performs best... -
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csv2xls
converts csv files into one (or more if splitted) xls file(s)
There exist solutions already. But maybe for some people it is not possible or acceptable to install perl or python just for this small program. On Linux python and/or perl is often installed already. But on windows not. This csv2xls can be cross compiled for windows on Linux with mingw. It depends on: xlslib: http://sourceforge.net/projects/xlslib/ libcsv: http://sourceforge.net/projects/libcsv/ -= Limitations =- - produces only Excel(TM) 97/2000/XP/2003 - no cell formatting, just... -
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Llama-2-7b
7B-parameter foundational LLM by Meta for text generation tasks
Llama-2-7B is a foundational large language model developed by Meta as part of the Llama 2 family, designed for general-purpose text generation in English. It has 7 billion parameters and uses an optimized transformer-based, autoregressive architecture. Trained on 2 trillion tokens of publicly available data, it serves as the base for fine-tuned models like Llama-2-Chat. The model is pretrained only, meaning it is not optimized for dialogue but can be adapted for various natural language... -
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stable-diffusion-2-1
Latent diffusion model for high-quality text-to-image generation
Stable Diffusion 2.1 is a text-to-image generation model developed by Stability AI, building on the 768-v architecture with additional fine-tuning for improved safety and image quality. It uses a latent diffusion framework that operates in a compressed image space, enabling faster and more efficient image synthesis while preserving detail. The model is conditioned on text prompts via the OpenCLIP-ViT/H encoder and supports generation at resolutions up to 768×768. Released under the... -
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Llama-2-7b-hf
Llama-2-7B is a 7B-parameter transformer model for text generation
Llama-2-7B is a foundational large language model developed by Meta as part of the Llama 2 family, designed for general-purpose text generation tasks. It is a 7 billion parameter auto-regressive transformer trained on 2 trillion tokens from publicly available sources, using an optimized architecture without Grouped-Query Attention (GQA). This model is the pretrained version, intended for research and commercial use in English, and can be adapted for downstream applications such as summarization... -
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TurboGears 2 is a web framework, but unlike some of its competitors, it's not a monolithic unit, it's a collection of libraries, WSGI components, and web development tools that works well together and is configured to provide a great out of the box.
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GPT-2
GPT-2 is a 124M parameter English language model for text generation
GPT-2 is a pretrained transformer-based language model developed by OpenAI for generating natural language text. Trained on 40GB of internet data from outbound Reddit links (excluding Wikipedia), it uses causal language modeling to predict the next token in a sequence. The model was trained without human labels and learns representations of English that support text generation, feature extraction, and fine-tuning. GPT-2 uses a byte-level BPE tokenizer with a vocabulary of 50,257 and handles...
