pytorch-implementation

Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)

A resource for learning about Machine learning & Deep Learning

A Collection of Variational Autoencoders (VAE) in PyTorch.

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

[CVPR2020] Adversarial Latent Autoencoders

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)

Stable Diffusion implemented from scratch in PyTorch

Build high-performance AI models with modular building blocks

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).

From scratch implementation of a vision language model in pure PyTorch

This repository is an implementation of Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices.

Simple Implementation of Pix2Seq model for object detection in PyTorch

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

This repository guides you through the process of building a GPT-style Large Language Model (LLM) from scratch using PyTorch. The structure and approach are inspired by the book Build a Large Language Model (From Scratch) by Sebastian Raschka.

PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxiv.org/pdf/2210.14698.pdf