Stars
Cog - A Free and Open Source Audio Player for macOS 10.14+
Official repository for the paper - SLAP: Siamese Language-Audio Pretraining without negative samples for Music Understanding
A Neovim plugin for displaying inline diagnostic messages with customizable styles and icons.
An extremely fast Python package and project manager, written in Rust.
โ๐๏ธ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
The glamourous AI coding agent for your favourite terminal ๐
Scooch Configures Object Oriented Class Hierarchies for python
CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages [ACL 2025]
AeroSpace is an i3-like tiling window manager for macOS
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
A large language model (LLM) plugin for Neovim, provides commands to interact with LLM (like ChatGPT, ChatGLM, kimi, deepseek, openrouter and local llms). Support Github models.
LTeX Language Server: LSP language server for LanguageTool ๐โ๏ธ with support for LaTeX ๐, Markdown ๐, and others
Integrates the reMarkable tablet into an Obsidian workflow by letting users quickly capture and insert their drawings.
๐ธ Soothing pastel theme for the high-spirited!
๐ A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, pythonโฆ
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tโฆ
Plugin to improve viewing Markdown files in Neovim
Neovim plugin introducing a new operators motions to quickly replace and exchange text.
Encode and decode audio samples to/from compressed latent representations!
[ICLR 2025] SOTA discrete acoustic codec models with 40/75 tokens per second for audio language modeling
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
Residual Quantization with Implicit Neural Codebooks
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.