Search Results for "python code generator" - Page 51
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1269 programs for "python code generator" with 1 filter applied:
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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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Free Chess is a free, open source GPL licensed WebChess game. We have discarded the original codebase, and we will be re-factoring this project entirely from scratch. Parts of this project will also use Python language for some of the underlying core code
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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.
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xml.dom.easydom for python primarily behaves like any xml.dom.* you already use. Additionaly easydom provides operator overloadings which render xml processing descriptions more readable and hence less error-prone. See about 90% of your xml-code boosted.
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Secure remote access solution to your private network, in the cloud or on-prem.OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
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devsimpy
Python-based GUI for discrete-event system modeling and simulation
DEVSimPy is an advanced wxPython GUI for the modeling and simulation of systems based on the DEVS (Discrete EVent system Specification) formalism. Features include powerful built-in editor, advanced modeling approach, powerful discrete event simulation algorithm, import/export DEVS components library and more. -
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This package will allow people to check, change, update the license of their projects. It will conform to all new licenses available.
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Code repository for the Laboratory for Genome Bioinformatics at Texas A&M. The LGB project was initiated primarily to support biologists at Texas A&M needing help with bioinformatics in order to use new genomic technologies.
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The Merodach engine is an open source MMORPG engine, made to try to merge action/RPG games and MMORPG games. Client and server source code will be availible.
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gpt-oss-20b
OpenAI’s compact 20B open model for fast, agentic, and local use
GPT-OSS-20B is OpenAI’s smaller, open-weight language model optimized for low-latency, agentic tasks, and local deployment. With 21B total parameters and 3.6B active parameters (MoE), it fits within 16GB of memory thanks to native MXFP4 quantization. Designed for high-performance reasoning, it supports Harmony response format, function calling, web browsing, and code execution. Like its larger sibling (gpt-oss-120b), it offers adjustable reasoning depth and full chain-of-thought visibility... -
Sales CRM and Pipeline Management Software | PipedrivePipedrive’s simple interface empowers salespeople to streamline workflows and unite sales tasks in one workspace. Unlock instant sales insights with Pipedrive’s visual sales pipeline and fine-tune your strategy with robust reporting features and a personalized AI Sales Assistant.
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Llama-3.1-8B-Instruct
Multilingual 8B-parameter chat-optimized LLM fine-tuned by Meta
Llama-3.1-8B-Instruct is a multilingual, instruction-tuned language model developed by Meta, designed for high-quality dialogue generation across eight languages, including English, Spanish, French, German, Italian, Portuguese, Hindi, and Thai. It uses a transformer-based, autoregressive architecture with Grouped-Query Attention and supports a 128k token context window. The model was fine-tuned using a combination of supervised fine-tuning (SFT), reinforcement learning with human feedback... -
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Meta-Llama-3-8B-Instruct
Instruction-tuned 8B LLM by Meta for helpful, safe English dialogue
... available data and more than 10 million human-annotated examples, it excludes any Meta user data. The model is released under the Meta Llama 3 Community License, which allows commercial use for organizations with fewer than 700 million MAUs, and imposes clear use, attribution, and redistribution rules. Meta provides safety tools like Llama Guard 2 and Code Shield to help developers implement system-level safety in applications. -
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Firefly's Clean Lzo
A human-readable ISC-Licensed implementation of the LZO1X algorithm.
LZO is a compression library which is widely used around the world. The main problem with LZO is that it is absolutely not human readable. People have done crazy stuff to get LZO to run in their language. Usually it implies inline assembly or trying to execute data which actually contains machine code. This is sick. Whoever is responsible for this sorry situation ought to be ashamed. So I'm going to deobfuscate LZO and provide a ISC implementation of this algorithm in Python and C... -
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SoGui est un toolkit graphique C++ multiplate-forme (Windows/X11). SoGui permet donc de créer des interfaces GUI de façon portable sur Windows, GNU/Linux, *BSD, etc. SoGui est aussi utilisable en C et en Python.
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DeepSWE-Preview
State-of-the-art RL-trained coding agent for complex SWE tasks
... scaling, and innovative policy gradient strategies adapted from GRPO, DAPO, Dr.GRPO, and RLOO. DeepSWE-Preview showcases strong reasoning, file navigation, and patch submission skills. It is ideal for agent-based code repair, debugging, and PR generation across real-world repositories. The model is served using platforms like vLLM and Hugging Face TGI, with support for 64k context length and OpenAI-compatible APIs. -
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Llama-2-7b
7B-parameter foundational LLM by Meta for text generation tasks
... processing tasks, such as summarization, completion, and code generation. It demonstrates solid performance on academic benchmarks like MMLU and TruthfulQA, improving on its predecessor, Llama 1. The Llama-2-7B model is released under Meta’s Llama 2 Community License, which allows for commercial use under certain conditions, especially for companies with fewer than 700 million MAUs. -
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stable-video-diffusion-img2vid-xt
Generates high-quality short videos from a single still image input
Stable Video Diffusion Img2Vid XT is an advanced image-to-video latent diffusion model developed by Stability AI, designed to generate short video clips from a single static image. It produces 25 frames at 576x1024 resolution, offering improved temporal consistency by fine-tuning from an earlier 14-frame version. The model operates without text prompts and instead uses a single input frame to guide visual generation, making it ideal for stylized motion or animation. It includes both a... -
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Llama-3.3-70B-Instruct
Llama-3.3-70B-Instruct is a multilingual AI optimized for helpful chat
Llama-3.3-70B-Instruct is Meta's large, instruction-tuned language model designed for safe, multilingual, assistant-style conversations and text generation. With 70 billion parameters, it supports English, Spanish, French, German, Italian, Portuguese, Hindi, and Thai, offering state-of-the-art performance across a wide range of benchmarks including MMLU, HumanEval, and GPQA. The model is built on a transformer architecture with grouped-query attention, trained on over 15 trillion tokens and... -
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Llama-2-7b-hf
Llama-2-7B is a 7B-parameter transformer model for text generation
..., question answering, and code generation. Llama-2-7B outputs text only, with input also restricted to text. Fine-tuned variants of this model, such as Llama-2-Chat, demonstrate competitive performance in dialogue tasks and safety benchmarks, rivaling proprietary models. The model was trained using Meta’s infrastructure, including 184,320 GPU hours and emissions fully offset by Meta’s sustainability program. -
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OpenVLA 7B
Vision-language-action model for robot control via images and text
... supports real-world robotics tasks, with robust generalization to environments seen in pretraining. Its actions include delta values for position, orientation, and gripper status, and can be un-normalized based on robot-specific statistics. OpenVLA is MIT-licensed, fully open-source, and designed collaboratively by Stanford, Berkeley, Google DeepMind, and TRI. Deployment is facilitated via Python and Hugging Face tools, with flash attention support for efficient inference.
