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:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

Self-contained, minimalistic implementation of diffusion models with Pytorch.

Videos, notes and experiments to understand deep learning

High-fidelity performance metrics for generative models in PyTorch

Arbitrary style transfer using TensorFlow.js

Protein Graph Library

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

Diagrams for visualizing neural network architecture

Portfolio optimization with deep learning.

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

The Hitchiker's Guide to PyTorch

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

A curated list of awesome architecture search resources

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

A list of backdoor learning resources

Some tricks of pytorch... :star:

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022

Composable GAN framework with api and user interface

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

An implementation of Performer, a linear attention-based transformer, in Pytorch

A simple way to calibrate your neural network.

Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥

Official Repository for the Uni-Mol Series Methods

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

FlagGems is an operator library for large language models implemented in the Triton Language.

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet

Corruption and Perturbation Robustness (ICLR 2019)

The Things Stack, an Open Source LoRaWAN Network Server

[CVPR 2022 Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

LibCity: An Open Library for Urban Spatial-temporal Data Mining

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]