Pytorch & Lightning based framework for research and ml-pipeline automation.
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Updated
May 28, 2024 - Python
Pytorch & Lightning based framework for research and ml-pipeline automation.
We build two language model (an LSTM and a Transformer model). Then we build models on the downstream task of **Sentence Paraphrasing** by fine-tuning an Encoder-Decoder architecture with attention and a Transformer.
Code I used for my YouTube videos
An unofficial implementation of the Pure Dilated Residual U-Net architecture.
Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).
Implementation of the paper "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation"
PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, GoogleNet, and more dataset
memory-efficient fine-tuning; support 24G GPU memory fine-tuning 7B
Welcome to the Transformer from Scratch repo! 🚀 Explore sequence-to-sequence learning, from input embeddings to attention mechanisms. 🤖 Train, test, and visualize with ease. 📚💡
An sweet login data manager enabling the generation of passwords and logins and their safe saving and storage (.csv)
LibCity: An Open Library for Urban Spatial-temporal Data Mining
The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"
Fish-Phenotype-Detect
Benchmark of federated learning. Dedicated to the community. 🤗
A GUI software for simple machine learning (ML) tasks in Windows.
A Windows GUI software for performing machine learning (ML) tasks in chemistry.
This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).
This is the official repo for Densely-Anchored Sampling for Deep Metric Learning (ECCV 22).
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/
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