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1. CurlyDL CurlyDL Public

   A robust, feature-rich download manager for Python with support for parallel downloads, speed limiting, and progress tracking.

   Python

2. VoidShader VoidShader Public

   A Godot experiment exploring shader techniques to replicate and visualize the void through procedural graphics and audio synthesis.

   GDScript

3. tinytik tinytik Public

   Go 1

4. Import oneplus notes app backup to g... Import oneplus notes app backup to google keep:

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   import json

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   import gkeepapi

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   # Install clone app, go to settings -> additional features -> backup and reset and make a local backup from settings

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   # Then you can find the backup file in android/data/com.oneplus.backupRestore, then copy rich text from there, it's 

5. This code provides a comprehensive s... This code provides a comprehensive solution for processing and translating large text files using OpenAI's GPT-4 model. It begins by importing necessary libraries, including NLTK for sentence tokenization and a custom tiktoken library for token encoding. The script defines two key functions: split_text_by_sentences and split_text_by_tokens, which split text into manageable segments based on sentence boundaries and token counts, respectively. The large_text_completion function then processes each text segment, sending it to the OpenAI API with a specified query (like a translation request) and concatenates the responses. The script reads a large text file (largeInput.txt), splits it into segments that fit within the token limits of GPT-4, and sends each segment to the model with a translation query.

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   # This code provides a comprehensive solution for processing and translating large text files using OpenAI's GPT-4 

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   # model. It begins by importing necessary libraries, including NLTK for sentence tokenization and a custom tiktoken 

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   # library for token encoding. The script defines two key functions: split_text_by_sentences and split_text_by_tokens,

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   # which split text into manageable segments based on sentence boundaries and token counts, respectively. The 

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   # large_text_completion function then processes each text segment, sending it to the OpenAI API with a specified