API

Python API for the Crunchdao machine learning tournament

Interact with the Crunchdao tournament API using Python. If you encounter a problem or have suggestions, feel free to open an issue. pip install –upgrade crunchdao Some actions (like uploading predictions) require an apikey to verifythat it is really you interacting with Crunchdao. Keys can be passed to thePython module as a parameter or you can be set via the CRUNCHDAO_API_KEYenvironment variable import crunchdao # some API calls    

Read more
Highlighting

Cross-editor syntax highlighter for Lua, showing some merit of Typed BNF

Cross-editor contextual syntax highlighter via Typed BNF Do you like “one grammar, syntax highlighters everywhere?” 喜欢我一个文法，到处高亮吗？ PS: NOTE that parentheses in function arguments and parameters have different colors. PPS: The amount of code required to implement such a cross-editor SH(~100 lines), is many orders of magnitude smaller than for the tmLanguage system(~10000 lines and unreadable). build grammar for VScode build: tbnf .cross-editor-highlighterlua.tbnf .cross-editor-highlighterbackend_vscodesrc “lua_sh” –backend typescript-antlr build grammar for pygments build: tbnf .cross-editor-highlighterlua.tbnf .cross-editor-highlighterbackend_pygments “lua_sh” –backend python-lark GitHub View Github […]

Read more
Semantic

Zero-Shot Semantic Segmentation

@article{xu2021ss, title={End-to-End Semi-Supervised Object Detection with Soft Teacher}, author={Xu, Mengde and Zhang, Zheng and Hu, Han and Wang, Jianfeng and Wang, Lijuan and Wei, Fangyun and Bai, Xiang and Liu, Zicheng}, journal={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, year={2021} }    

Read more
Parser

An out-of-box Lua parser written in Lark

Such parser handles a relaxed version of Lua 5.3 grammar. This is a Python-Lark implementation of Lua 5.3 parser. It has the following features: the grammar is compatible to LALR(1)/LR(1)/ALL(*) the generated parser creates declarative and typed Python dataclasses instead of error-prone CSTs — that’s why we call it “out-of-box”. Fable.Sedlex, which is an F# port of OCaml sedlex project and transpiled into Python, is used in this parser to achieve high-quality lexer that avoids unnecessary collisions of lexical rules. […]

Read more
Geometric

A Mod Menu for Geometry Dash. Specifically a MegahackV5 clone in Python. Only for Windows

This is a mod menu for the game Geometry Dash. It is written with Python, gd.py, DearPyGui and me.If you want to download it, you can find the binaries for Windows in releases. GUI showcase On start, the program will create a file called settings.py. There, you can make the cheat automatically start Geometry Dash, if it isn’t started already.Also!!!!!! This cheat supports automatic DLL injection for any files you put inside the dll folder which you can create in […]

Read more
Games

A game program written in the Python language

My Pygame Game Information: Description This Pygame project is a game program written in the Python language that was created to fulfill the level 1 task requirements for the Hyperion Development Software Engineering Bootcamp that I am enrolled in. The aim of this task was to develop skills to adapt to working with novel code libraries. Therefore, a simple Pygame program example was provided as a base to write our own game, according to the task level specifications. This simple […]

Read more
Detection

Use regular expressions to detect date format

Setup # Setup python virtual environment $ virtualenv venv –python=python3 $ source venv/bin/activate # change directory to the repo where we have requirements file $ cd Regular_Expressions/ # Install python dependencies $ pip3 install -r requirements.txt Run Use the following command in the current directory. python3 src/main.py data/dev/ output/dev.csv Data The assignment’s development data can be found inside data/dev. GitHub View Github    

Read more
Automation

Automatic Audio-to-symbolic Arrangement

This is the repository of the project “Audio-to-symbolic Arrangement via Cross-modal Music Representation Learning” by Ziyu Wang, Dejing Xu, Gus Xia and Ying Shan (arXiv:2112.15110). Model Overview We propose an audio-to-symbolic generative model to transfer an input audio to its piano arrangement (in MIDI format). The task is similar to piano cover song production based on the original pop songs, or piano score reduction based on a classical symphony. The input audio is a pop-song audio under arbitrary instrumentation. The […]

Read more
1 … 298 299 300 301 302 … 939