PyTorch implementation of logistic regression and feedforward neural networks (+ slides from my NLP course)
-
Updated
May 30, 2024 - Jupyter Notebook
PyTorch implementation of logistic regression and feedforward neural networks (+ slides from my NLP course)
ποΈ πΌοΈ π₯PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...
Pytorch & Lightning based framework for research and ml-pipeline automation.
Official code for Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMM
This is the official implementation of our research paper "Non-residential electricity day ahead load forecasting using a Transformer based adversarial domain adaptation forecaster"
Benchmark of federated learning. Dedicated to the community. π€
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues
LibCity: An Open Library for Urban Spatial-temporal Data Mining
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
Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954
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! π Explore sequence-to-sequence learning, from input embeddings to attention mechanisms. π€ Train, test, and visualize with ease. ππ‘
An sweet login data manager enabling the generation of passwords and logins and their safe saving and storage (.csv)
The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"
Add a description, image, and links to the pytorch-implementation topic page so that developers can more easily learn about it.
To associate your repository with the pytorch-implementation topic, visit your repo's landing page and select "manage topics."