Search Results for "code count"
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Showing 9 open source projects for "code count"
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Gitingest
Create prompt-friendly codebase digests from any Git repository URL
...In addition to producing the code digest, Gitingest also calculates statistics about the extracted content such as repository structure, total size of the extract, and token count. Gitingest can be used as a command line utility or integrated directly into Python applications. -
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Translate Toolkit
Useful localization tools with Python API for building localization
...A large toolset to allow you to increase localization quality. The code is available for you to add new formats, project types, localization tests and language modules. Adapting the toolkit to your project and needs. -
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Tiktoken
tiktoken is a fast BPE tokeniser for use with OpenAI's models
tiktoken is a high-performance, tokenizer library (based on byte-pair encoding, BPE) designed for use with OpenAI’s models. It handles encoding and decoding text to token IDs efficiently, with minimal overhead. Because tokenization is a fundamental step in preparing text for models, tiktoken is optimized for speed, memory, and correctness in model contexts (e.g. matching OpenAI’s internal tokenization). The repo supports multiple encodings (e.g. “cl100k_base”) and lets users switch encoding... -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express... -
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LibreCalories
Libre version of the many costly nutrition and calorie counting apps.
LibreCalories is a libre version of the many costly nutrition and calorie counting apps out there. While still in its early stages, LibreCalories is a step forward towards making nutritional knowledge freely accessible, and giving all an opportunity to engage in a healthier lifestyle. To access the source code you'll have to click the "Source Code" folder in the files page. For more information, head on over to the project's website: https://templisoft.neocities.org/ -
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rx2fits
HF/VHF spectrosopy code for the rx888mk2 direct-sampling receiver
...Sample rate, Fourier bin count, PFB frame count, integration time and receiver gain parameters can be set. Utilities for device enumeration, firmware upload, display of FITS header, file viewing, and for measuring sample rate and sample statistics are provided. The device interface is Ruslan Migirow's librx888 and dropped samples at 130 MHz are negligible. -
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App launches a GUI - A small window opens with SQIX logo which also has a button to start the autoclicker. The welcome message shows the status of the autoclicker. You get two buttons, and you can also adjust the interval between which the autoclicker will click. The default is 120 seconds When you click Start, the app starts a background task called a thread that clicks the mouse every 120 seconds by default and clicks again. When you click Stop, the app stops the background...
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G-CPS
Lite CPS Tester
G-CPS (Golden CPS) It is a Very Lite program to measure your CPS G-CPS is a very lightweight program, it contains multiple color themes, and several options to adjust the test time (1, 3, 5, 10, 15, 30 and 60) s. It also saves the CPS record that you have achieved, each time mode has a different record. Source Code: GitHub: https://github.com/PETEROLO291/G-CPS You can try it out with: https://sourceforge.net/projects/flame-auto-clicker/ Info: Installer: 9.3MB Program:... -
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Top Deep Learning Projects
A list of popular github projects related to deep learning
TopDeepLearning is a curated index of the most popular GitHub projects related to deep learning, ranked by their star count. Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly discover reputable and well-maintained repositories. ... -
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