머신러닝 · GitHub

Environment for coverage control and learning using GNN

Open source subtitling platform 💻 for transcribing and translating videos/audios in Indic languages.

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding"

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

Multi-language library for the calculation of spherical harmonics in Cartesian coordinates

OpenDPD is an end-to-end learning framework built in PyTorch for power amplifier (PA) modeling and digital pre-distortion (DPD). You are cordially invited to contribute to this project by providing your own backbone neural networks, pretrained models or measured PA datasets.

Open source no-code system for text annotation and building of text classifiers

Self‑calibrated neuromorphic hyperspectral imaging pipeline for event cameras with diffractive illumination. Includes end‑to‑end tools for RAW segmentation, multi‑window time‑warping compensation, spectral visualization, and hardware control for synchronized event/frame capture and scanning.

• End-to-end RAW-to-spectrum event processing workflow.
• Auto/manual scan period detection and forward/backward segmentation.

🔬 A Researcher&Agent-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!

• Extensibility: Adapt your model/dataset once, train almost any combination of "model" $\times$ "dataset" $\times$ "loss function".
• Compatibility: Accept models with any number/type of arguments in forward; Accept datasets with any number/type of return values in __getitem__; Accept tailored loss calculation for specific models.