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63 search results found

Pytorch Vae ⭐ 5,292

A Collection of Variational Autoencoders (VAE) in PyTorch.

[CVPR2020] Adversarial Latent Autoencoders

Alphacodium ⭐ 1,882

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

TensorFlow implementation of Independently Recurrent Neural Networks

Teacher Free Knowledge Distillation ⭐ 490

Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization

Pytorch Generative ⭐ 355

Easy generative modeling in PyTorch.

Open Entity Relation Extraction ⭐ 235

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

Character Based Cnn ⭐ 209

Implementation of character based convolutional neural network

Tensorflow implementation of Neural Scene Representation and Rendering

Codeslam ⭐ 146

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

Saliency ⭐ 140

Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]

ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining

Indrnn Pytorch ⭐ 96

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

Srntt Pytorch ⭐ 91

A PyTorch implementation of SRNTT, which is a novel RefSR method.

Speaker Recognition Papers ⭐ 84

Share some recent speaker recognition papers and their implementations.

Incremental Learning ⭐ 76

Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

Talktomodel ⭐ 68

TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

Thermodynamicsgnn ⭐ 62

Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).

Indrnn_theano_lasagne ⭐ 57

This code is to implement the IndRNN.

An unofficial implementation of TubeViT in "Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning"

Implementation of the paper: Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

Is This a Joke? Humor Detection in Spanish Tweets

[Implementation example] Attend and Diagnose: Clinical Time Series Analysis Using Attention Models

Attack Agnostic Dataset ⭐ 35

Implementation of Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection paper

Mogrifierlstm ⭐ 34

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

Re Cnn Pytorch ⭐ 33

PyTorch implementation of relation extraction via convolutional neural network with multi-size convolution kernels.

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

Deepfake Whisper Features ⭐ 31

Implementation of the paper "Improved DeepFake Detection Using Whisper Features"

Inpainting ⭐ 29

Image inpainting via dictionary learning and sparse representation.

Pytorch Bert ⭐ 27

An implementation of BERT using PyTorch's TransformerEncoder

Recsystem Pytorch ⭐ 27

推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.

Selective_search ⭐ 26

Python implementation of selective search

Pytorch Dssn Mer ⭐ 25

PyTorch version for the "Dual-Dtream Shallow Networks for Facial Micro-Expression Recognition"

Sleec_python ⭐ 24

Python implementation of "Sparse Local Embeddings for Extreme Multi-label Classification, NIPS, 2015"

Dsh Pytorch ⭐ 24

PyTorch implementation of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL(CVPR 2016)

TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.

Material Appearance Similarity ⭐ 19

Code for the paper "A Similarity Measure for Material Appearance" presented in SIGGRAPH 2019 and published in ACM Transactions on Graphics (TOG).

Pytorch Handwriting Synthesis Toolkit ⭐ 19

Handwriting generation and handwriting synthesis as described in Alex Graves's paper https://arxiv.org/abs/1308.0850. Pytorch implementation.

Facial Graph Representation Learning ⭐ 19

PyTorch version for the "Micro-expression Recognition Based on Facial Graph Representation Learning and Facial Action Unit Fusion"

PyTorch implementation of the MRNet paper, developed for the MRNet Competition hosted by the Stanford ML Group

Cyclegan ⭐ 17

A simple code of CycleGAN which is easy to read is implemented by TensorFlow

Official code for semantic parsing model "HSP" in paper "Complex Question Decomposition for Semantic Parsing"(ACL'19).

Pychop3d ⭐ 16

Python implementation of "Chopper: Partitioning Models into 3D-Printable Parts"

Structurepreservingnn ⭐ 15

Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).

Specrnet ⭐ 13

Implementation of "SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection" paper

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Text summarization with PyTorch

Original Pytorch Implementation of FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation

Nalu Keras ⭐ 12

A keras implementation of [Neural Arithmetic Logic Units](https://arxiv.org/pdf/1808.00508.pdf) by Andrew et. al.

Deeplearningmor ⭐ 11

Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechanics and Engineering (CMAME).

Scalable Recognition With A Vocabulary Tree ⭐ 11

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

Autolearn ⭐ 11

AutoLearn, a domain independent regression-based feature learning algorithm.

Dqn Flappy Bird ⭐ 10

🕹️ Flappy Bird hack using Deep Reinforcement Learning with Double Q-learning

Lightgbm Feature Transform ⭐ 10

lightgbmのfeature-transform（特徴量の非線形化）をすることで、80,000を

Neural Style Pytorch ⭐ 8

📄 PyTorch implementation of "A Neural Algorithm of Artistic Style" (arXiv:1508.06576)

PyTorch code of our ICIP'19 paper "Improving Super-Resolution Methods via Incremental Residual Learning"

Bag Of Samplings ⭐ 8

📜 Official implementation of the paper "Bag of Samplings for Parkinson's Disease Diagnosis based on Recurrent Neural Networks"

Neural Image Captioning ⭐ 8

This is an implementation of the paper "Show and Tell: A Neural Image Caption Generator".

Random Erasing Tensorflow ⭐ 8

A complete Tensorflow implementation of cutout random erasing (without numpy)

Hybrid Girvan Newman. Code for the "A Distributed Hybrid Community Detection Methodology for Social Networks" paper.

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

Texture Synthesis Using Convolutional Neural Networks ⭐ 8

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

Relaxed Machines ⭐ 7

program synthesis with neuro-symbolic differentiable interpreters

Diverse_and_specific_image_captioning ⭐ 7

Unsupervised specificity-guided optimization of Image Captioning models to encourage meaningful diversity in the generated captions.

Bustle: Botton-up Program Synthesis Through Learning-Guided Exploration

Communication Bootstrapping V1 ⭐ 6

appendix of Jake Beal's master thesis (2002)

Smaller Labse ⭐ 6

Applying "Load What You Need: Smaller Versions of Multilingual BERT" to LaBSE

Solar Cell ⭐ 5

Framework for the Simulation of Temperature Dependent Semiconductor Parameters in Silicon Solar Cells and their Respective Impact on the Current Density-Voltage Characteristic

Pytorch Detect Code Switching ⭐ 5

Implementation of a deep learning model (BiLSTM) to detect code-switching

Lfv_disparity_estimation ⭐ 5

Official repository for "Depth estimation from 4D light field videos", IWAIT 2021

Learning Ml ⭐ 5

Lectures, Papers, Reviews, and Implementations

Deep Learning Paper Implementation ⭐ 5

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

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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