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25 search results found

Generative Adversarial Networks implemented in PyTorch and Tensorflow

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Pytorch Stable Diffusion ⭐ 140

Stable Diffusion implemented from scratch in PyTorch

Directinversion ⭐ 122

Official repo for paper "Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"

Pytorch Question Answering ⭐ 102

Important paper implementations for Question Answering using PyTorch

Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

Deep Learning ⭐ 73

In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

How To Train Your Neural Net ⭐ 55

Deep learning research implemented on notebooks using PyTorch.

Mogrifierlstm ⭐ 34

A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch

Audio Deepfake Adversarial Attacks ⭐ 29

Implementation of "Defense against Adversarial Attacks on Audio DeepFake Detection"

Two Step Task ⭐ 28

Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcement Learn".

Sherlock Topic Model Paper ⭐ 15

Data and code for the paper "Geometric models reveal behavioural and neural signatures of transforming naturalistic experiences into episodic memories" by Andrew C. Heusser, Paxton C. Fitzpatrick, and Jeremy R. Manning

Google_tide_implementation ⭐ 13

An implementation of (Google）Long-term Time Series Forecasting with TiDE: Time-series Dense Encoder

Paper Implementation Matrix Factorization Recommender Systems Netflix ⭐ 11

[Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky

Scalable Recognition With A Vocabulary Tree ⭐ 11

A python implementation of the paper "Scalable Recognition with a Vocabulary Tree, D. Nister, H. Stewenius, 2006"

Predicting Subjective Features On Qa Websites ⭐ 11

Paper: "Predicting Subjective Features from Questions on QA Websites using BERT"

Magicmix ⭐ 10

Implementation of MagicMix: Semantic Mixing with Diffusion Models paper

Deeplearning ⭐ 10

Deep Learning Concepts and Research Paper Implementations.

Pytorch Implementations ⭐ 9

A collection of paper implementations using the PyTorch framework

Texture Synthesis Using Convolutional Neural Networks ⭐ 8

Tensorflow implementation of paper - "Texture Synthesis Using Convolutional Neural Networks"

Implementation of paper "Do Wide and Deep Networks Learn the Same Things?"

Hierarchical Attention Network ⭐ 6

Implementation for "Hierarchical Attention Networks for Document Classification"

Deep Learning Paper Implementation ⭐ 5

From Scratch Implementation of some popular Deep Learning Papers with PyTorch and Tensorflow

Dropblock Keras Implementation ⭐ 5

Paper Reproduction: "DropBlock: A regularization method for convolutional networks"

Learning Ml ⭐ 5

Lectures, Papers, Reviews, and Implementations

Efficient Learning Khan ⭐ 5

Experiment, data, and analysis code for "Text embedding models yield high-resolution insights into conceptual knowledge from short multiple-choice quizzes" by Paxton C. Fitzpatrick, Andrew C. Heusser, and Jeremy R. Manning

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