deep-learning

[EMNLP 2024] ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers

A fully convolution-network for speech-to-text, built on pytorch.

<밑바닥부터 만들면서 공부하는 LLM>(길벗, 2025)의 코드 저장소

Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"

Easy to use Stable diffusion workflows using diffusers

[ICCV 2025] Explore the Limits of Omni-modal Pretraining at Scale

Image Acceptable Alpaca (Image-Text Chat AI).

Listen, attend and spell Model and a Chinese Mandarin Pretrained model (中文-普通话 ASR模型)

Implementation of Mimic-Video, Video-Action Models for SOTA Generalizable Robot Control Beyond VLAs

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

Easy fine-tuning for Qwen3-TTS: Fast voice cloning and high-quality multilingual speech synthesis.

LocoFormer - Generalist Locomotion via Long-Context Adaptation

Open Toolkit for Painless Object Detection

This is the official implementation of TransCenter (TPAMI). The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

Comprehensive LaTeX-based deep learning guide with custom TikZ illustrations

SELFormer: Molecular Representation Learning via SELFIES Language Models

Experimental playground for benchmarking language model (LM) architectures, layers, and tricks on smaller datasets. Designed for flexible experimentation and exploration.

Fine-tuning Vision Transformers on various classification datasets