CGPEERS

Allows you to download videos from YouTube, supports the Russian language, eliminates hard machine translations and multi-line subtitles, adding high-quality dubbing erasing language barriers

Main functions:

- Downloading YouTube videos via yt-dlp;

- Subtitle recognition at the word level with WhisperX;

- Subtitle segmentation based on NLP and GPT;

- Terminology generated by GPT for coherent translation;

- Two-stage translation process, not inferior to professional quality;

- Only one-line subtitles of the Netflix standard;

- Dubbing alignment;

- Launch and output with one click in Streamlit;

- Comprehensive multilingual support;

- Only one-line subtitles, excellent translation quality.

Languages: Python (69.2%), Jupyter Notebook (29.6%), Other (1.2%).

grafana is an open and componentised platform for data observation and visualisation. Visualise metrics, logs and traces from multiple sources such as Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more

TypeScript (57.2%), Go (39.6%), Rich Text Format (0.7%), …

Clear instructions with automated customization scripts for developer tools such as: Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development

DeepSpeech is an open source embedded speech-to-text engine.

It can run in real time on a variety of devices.

It can run in real-time on a variety of devices.

lazygit can be flexibly customized, from the color scheme to adding new commands or hotkeys

ZeST is the official implementation of ZeST: Zero-Shot Material Transfer from a Single Image

Given an input image (e.g., a photo of an apple) and a sample image of a single material (e.g., a gold bowl), ZeST can transfer the gold material from the sample to the apple with accurate lighting cues, while keeping everything else the same.

code: Jupyter Notebook (99.5%), Python (0.5%).