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pytorch-implementation x

327 search results found

Nonparaseq2seqvc_code ⭐ 77

Implementation code of non-parallel sequence-to-sequence VC

Data Efficient Reinforcement Learning With Probabilistic Model Predictive Control ⭐ 76

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

Official implementation of "TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts (ECCV2022)"

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

Representation Learning For Information Extraction ⭐ 72

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

Dualstudent ⭐ 68

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' (ICCV 2019)

Zero Dce ⭐ 68

Pytorch implementation of paper "Zero Reference low-light image enhancement"

Lbam_pytorch ⭐ 67

Pytorch re-implementation of Paper: Image Inpainting with Learnable Bidirectional Attention Maps (ICCV 2019)

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

Tfvaegan ⭐ 62

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Triplet Loss Pytorch ⭐ 61

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Deep Learning Pytorch ⭐ 61

A repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field

Video Captioning Models In Pytorch ⭐ 61

A PyTorch implementation of state of the art video captioning models from 2015-2019 on MSVD and MSRVTT datasets.

Official repository of DeMFI (ECCV 2022).

Pytorch Attention Guided Cyclegan ⭐ 57

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

Ngcf Pytorch ⭐ 57

PyTorch Implementation for Neural Graph Collaborative Filtering

An 16kHz implementation of HiFi-GAN for soft-vc.

Interpretability By Parts ⭐ 55

[CVPR 2020 Oral] Interpretable and Accurate Fine-grained Recognition via Region Grouping

L2p Pytorch ⭐ 53

Pytorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22

Docgeonet ⭐ 52

The official code for “Geometric Representation Learning for Document Image Rectification”, ECCV, 2022.

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Deep Mvlm ⭐ 52

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

Face Attribute Prediction ⭐ 52

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

Openpose Pytorch ⭐ 52

🔥 OpenPose api wrapper in PyTorch.

Abae Pytorch ⭐ 49

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'

Official Pytorch implementation of Multi-Similarity and Attention Guidence for Boosting Few-Shot Segmentation.

Recsys_pytorch ⭐ 48

PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

Music Spectrogram Diffusion Pytorch ⭐ 46

Mobile Vod Bottleneck Lstm ⭐ 46

Implementation of Mobile Video Object Detection with Temporally-Aware Feature Maps using PyTorch

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Lipnet Pytorch ⭐ 44

"LipNet: End-to-End Sentence-level Lipreading" in PyTorch

[TIP 2022] Official code of paper “Video Question Answering with Prior Knowledge and Object-sensitive Learning”

Cdfse_fastspeech2 ⭐ 42

The Official Implementation of “Content-Dependent Fine-Grained Speaker Embedding for Zero-Shot Speaker Adaptation in Text-to-Speech Synthesis”

Semantic Segmentation Pytorch ⭐ 42

PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, GoogleNet, and more dataset

Pytorch Learn Reinforcement Learning ⭐ 42

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

Flownet3d_pytorch ⭐ 41

The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d

Colonsegnet ⭐ 41

ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)

Generative_mlzsl ⭐ 40

[TPAMI 2023] Generative Multi-Label Zero-Shot Learning

Moldqn Pytorch ⭐ 40

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Magic Vnet ⭐ 40

VNet for 3d volume segmentation

Uda_pytorch ⭐ 40

UDA(Unsupervised Data Augmentation) implemented by pytorch

Cyclegan Pytorch ⭐ 40

A clean and lucid implementation of cycleGAN using PyTorch

Deep Learning-based Frozen Section to FFPE Translation

A unofficial Pytorch implementation of Microsoft's PHASEN

Depth Map Prediction ⭐ 37

Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

Pytorch Continuous Bag Of Words ⭐ 36

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.

NumPy实现类PyTorch的动态计算图和神经网络(DNN, CNN, RNN)

Multilingual_nmt ⭐ 36

Experiments on Multilingual NMT

Probabilisticneuralprogrammednetwork ⭐ 36

Code for "Probabilistic Neural Programmed Networks for Scene Generation.", Deng et al, NIPS 2018

Siamese_net ⭐ 35

Signature verification system using Siamese networks

Pqg Pytorch ⭐ 35

Paraphrase Generation model using pair-wise discriminator loss

Generative Adversarial User Model For Reinforcement Learning Based Recommendation System Pytorch ⭐ 34

Hologan Pytorch ⭐ 34

Non-official + minimal reimplementation of HoloGAN by Nguyen-Phuoc, et al: https://arxiv.org/abs/1904.01326

Enet Sad_pytorch ⭐ 33

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

Conformal Risk ⭐ 33

Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.

Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"

Drl_algorithm_library ⭐ 33

This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.

Titlestylist ⭐ 33

Source code for our "TitleStylist" paper at ACL 2020

Tailcalibx ⭐ 32

Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi

Sievenet ⭐ 32

This is the unofficial implementation of SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On

Long-Term Rhythmic Video Soundtracker, ICML2023

Evolutionarygan Pytorch ⭐ 31

The author's officially unofficial Pytorch EvolutionaryGAN implementation.

Text Classification Lstms Pytorch ⭐ 31

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Alphafold_pytorch ⭐ 31

An implementation of the DeepMind's AlphaFold based on PyTorch for research

Bias Loss Skipblocknet ⭐ 30

[ICCV 2021]Code for the the bias loss and evaluation of SkipblockNet model on ImageNet validation set

Pytorch implementation of the Loc2Vec with some modifications for speed

This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.

Dualprompt Pytorch ⭐ 29

Pytorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

Deterministic Gail Pytorch ⭐ 29

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Cosine Ood Detector ⭐ 28

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)

Vognet Pytorch ⭐ 28

[CVPR20] Video Object Grounding using Semantic Roles in Language Description (https://arxiv.org/abs/2003.10606)

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.

Pytorch Pyramid Feature Attention Network For Saliency Detection ⭐ 27

PyTorch implementation of the CVPR 2019 paper “Pyramid Feature Attention Network for Saliency Detection”

[TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339

Libreface ⭐ 27

[WACV 2024] LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis

PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. CVPR 2022 (Oral).

Hard Sample Aware Noise Robust Learning forHistopathology Image Classification

Scaffold Pytorch ⭐ 26

Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Llmva Gebc ⭐ 26

Winner solution to Generic Event Boundary Captioning task in LOVEU Challenge (CVPR 2023 workshop)

This is the official repo for Dynamic Extension Nets for Few-shot Semantic Segmentation (ACM Multimedia 20).

Semi Supervised Paper Implementation ⭐ 25

Reproduce some methods in semi-supervised papers.

Ghost Deblurgan ⭐ 25

This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.

PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning

Turbofan Engine Rul Prediction ⭐ 24

RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAt

Deep_hierarchical_classification ⭐ 24

PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning [ICLR‘23, Best Paper Award at ECCV’22 AROW Workshop]

Kg_one2set ⭐ 24

Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"

Conditional Variational AutoEncoder (CVAE) PyTorch implementation

Walk Transformer ⭐ 24

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Attention Sampling Pytorch ⭐ 24

This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".

Dynamic_model_pruning_with_feedback ⭐ 24

Implement of Dynamic Model Pruning with Feedback with pytorch

This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).

Share Parking_availability_prediction Pytorch ⭐ 23

Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction

Multi Scale Curriculum ⭐ 22

Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification

Saliency ⭐ 21

Pytorch Implementation of the paper - "Tidying Deep Saliency Prediction Architectures"

Class_activation_map ⭐ 20

PyTorch implementation of "Learning Deep Features for Discriminative Localization"

Pytorch_robotics_transformer ⭐ 20

A PyTorch re-implementation of the RT-1 (Robotics Transformer)

Voice Synthesis ⭐ 20

This repository is an implementation of Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices.

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