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deep-neural-networks x

343 search results found

Continual Inference ⭐ 43

A Python library for Continual Inference Networks in PyTorch

EMSANet: Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments

Decentralized Ml ⭐ 42

Full stack service enabling decentralized machine learning on private data

Dnn.cool ⭐ 42

A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.

Crfasrnn_pytorch ⭐ 41

CRF-RNN PyTorch version http://crfasrnn.torr.vision

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.

Pv_defect_detection ⭐ 38

Multi-label defect detection for Solar Cells from Electroluminescence images of the modules, using Deep Learning

Pytorch_complex ⭐ 37

A temporal module for PyTorch-ComplexTensor

Active Passive Losses ⭐ 37

Code for ICML2020 paper [“Normalized Loss Functions for Deep Learning with Noisy Labels"] https://arxiv.org/abs/2006.13554

Focuslitenn ⭐ 35

Official PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"

[Preprint] "Segmentation-Aware Image Denoising without Knowing True Segmentation"

multi-dimensional, multi-sensor, multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses

Contractive_autoencoder_in_pytorch ⭐ 34

Pytorch implementation of contractive autoencoder on MNIST dataset

Image Identification For Self Driving Cars ⭐ 34

🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.

A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")

TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

Machine Learning ⭐ 31

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Deepdiva ⭐ 31

⛔️ DEPRECATED <Python Framework for Reproducible Deep Learning Experiments>

Pytorch Rl Cpp ⭐ 31

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Cpp_torch ⭐ 31

It is tiny-dnn based on libtorch. Only headers without dependencies other than libtorch, deep learning framework

Deep Object Reid ⭐ 31

OpenVINO Training Extensions Object Re-identification

Very Deep Cnn Pytorch ⭐ 30

Very deep CNN for text classification

Maskflownet Pytorch ⭐ 30

Pytorch implementation of MaskFlownet

Pytorch Unet ⭐ 29

2D and 3D UNet implementation in PyTorch.

Irm Based Speech Enhancement Using Lstm ⭐ 29

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

Pytorch Recurrent Ae Siggraph17 ⭐ 29

Pytorch implementation for 'Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder' , https://research.nvidia.com/publication/interactiv

Deep Non-Adversarial Gesture Generation

Ccfbdci 2021 Ultrasonic Tumor Segmentation Rank1st ⭐ 28

This is the source code of the 1st place solution for segmentation task (with Dice 90.32%) in 2021 CCF BDCI challenge.

Biggan Generator Pretrained Pytorch ⭐ 28

Pytorch implementation of BigGAN Generator with pretrained weights

Cognitivedistillation ⭐ 27

[ICLR2023] Distilling Cognitive Backdoor Patterns within an Image

Pytorch_mlp_for_asr ⭐ 27

This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

Raw2logit ⭐ 27

In order to control processing-induced dataset drift we require two ingredients: raw sensor data and an image processing model. This code repository contains the materials for the second ingredient, the image processing models, as well as scripts to load data and run experiments. https://arxiv.org/abs/2211.02578

Trianglegan ⭐ 27

TriangleGAN, ACM MM 2019.

A Pytorch implementation of Generative Adversarial Network for Heuristics of Sampling-based Path Planning

Mobilenext ⭐ 26

non-official PyTorch implementation of MobileNeXt from paper [Rethinking Bottleneck Structure for Efficient Mobile Network Design]

Virtual_drawing_board ⭐ 26

Virtual whiteboard with hand pose estimation

Glottdnn ⭐ 26

GlottDNN vocoder and tools for training DNN excitation models

Voice Activity Detection ⭐ 26

Voice Activity Detection (VAD) using deep learning. Supervised by Retune DSP.

Brats2018 Tumor Segmentation ⭐ 26

We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

Pytorch Practice ⭐ 25

🏙 Interactive in-editor performance profiling, visualization, and debugging for PyTorch neural networks.

This package is an attempt to implement Keras like API functionalities on PyTorch backend with functionalities supporting information theoretic methods which are relevant for understanding neural network dynamics.

Dcasenet ⭐ 24

Author's repository for reproducing DcaseNet, an integrated pre-trained DNN that performs acoustic scene classification, audio tagging, and sound event detection. Implemented using PyTorch.

Lightweight Temporal Attention Pytorch ⭐ 23

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

Caltech_birds ⭐ 23

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Padhai Course ⭐ 22

Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs

Voice Conversion ⭐ 22

an tutorial implement of voice conversion using pytorch

Yet another mini autodiff system for educational purposes

Reproducibilty Challenge Ecanet ⭐ 22

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

Detectx Yolo V3 ⭐ 22

Yolo-V3 implementation from scratch in pytorch

Sentimentanalysis ⭐ 22

Sentiment Analysis: Deep Bi-LSTM+attention model

Visualrecsys Tutorial Iui2021 ⭐ 22

Repository for "VisRec: A Hands-on Tutorial on Deep Learning for Visual Recommender Systems" at ACM IUI 2021 conference

Open Source Models ⭐ 22

Address book for computer vision models.

Erfnet Pytorch ⭐ 21

A PyTorch implementation for ERFNet on Pascal VOC data.

Static_bfp_cnn ⭐ 20

Static Block Floating Point Quantization for CNN

Snr Based Progressive Learning Of Deep Neural Network For Speech Enhancement ⭐ 20

The implementation of the paper SNR-Based Progressive Learning of Deep Neural Network for Speech Enhancement.

PyTorch implementation of a Time Delay Neural Network (TDNN)

Model Training And Deployment ⭐ 20

Training and deployment of deep learning models for satellite & aerial imagery

Covid 19_prognosis ⭐ 19

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

Deepnet For Semantic Labeling Photogrammetry ⭐ 19

2D semantic segmentation that assigns labels to multiple object categories on Potsdam dataset 🚀

Signal2image Modules In Deep Neural Networks For Eeg Classification ⭐ 19

Chime4 Nn Mask ⭐ 18

Implementation of NN based mask estimator in pytorch

Ntua Slp Wassa Iest2018 ⭐ 18

Deep-learning Transfer Learning models of NTUA-SLP team submitted at the IEST of WASSA 2018 at EMNLP 2018.

Soft Dtw Loss ⭐ 18

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

Asvspoof_pa ⭐ 18

Shoe Design Using Generative Adversarial Networks ⭐ 18

Pytorch implementation of real time object detection algorithm YOLOv3

Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts'.

tensor4 - pytorch to C++ convertor using lightweight templated tensor library

Rezero Resnet ⭐ 17

Unofficial pytorch implementation of ReZero in ResNet

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

Deeplearning ⭐ 17

deeplearning tour

Robust Real-time Object Detection for the Nao Robots

Dnn_neurosim_v1.0 ⭐ 17

Benchmark framework of compute-in-memory based accelerators for deep neural network

Introduction To Deep Learning And Neural Networks Course ⭐ 16

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Graspgpt_public ⭐ 16

code implementation of GraspGPT

A cross Transformer for image denoising(Information Fusion, 2023)

Great Deep Learning Books ⭐ 16

A Great Collection of Deep Learning (e)Books

Neuralnet Pytorch ⭐ 16

A high level framework for general purpose neural networks in Pytorch.

Hands On Nlp With Pytorch ⭐ 15

Collection of Notebooks for Natural Language Processing with PyTorch

A Pytorch implementation of MuseGAN

Information Theory Deep Learning ⭐ 15

Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning

WAveform Vector Exploitation (WAVE): Machine Learning for particle physics detectors.

Dnn Datadependentactivation ⭐ 15

The code for the paper: https://arxiv.org/pdf/1802.00168.pdf

Vgg_face_search ⭐ 15

(MIRROR) Face finding engine that runs on a local service. Includes a pipeline for preprocessing a user-defined image dataset.

Universal Dic ⭐ 15

Official implementation of "Universal Deep Image Compression via Content-Adaptive Optimization with Adapters" presented at WACV 23 (https://arxiv.org/abs/2211.00918).

Deep Tsne Embedding ⭐ 14

Deep learning of an embedding mapping using t-SNE as a loss function on top of a 3-hidden-layer neural network. Use pytorch !

Honest But Curious Nets ⭐ 14

Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)

Deep Image Retrieval ⭐ 14

End-to-end Learning of Deep Visual Representations for Image Retrieval.

Cvae_dial ⭐ 14

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

Pytorch implementation of Exploring Simple Siamese Representation Learning

Deeplearning Tutorials ⭐ 13

This is a deep learning tutorial which is summarized to help someone who want to join to deep learning group

Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.

Hyperspheresurfaceregression ⭐ 13

Code accompanying the paper "360 Surface Regression with a Hyper-Sphere Loss", 3DV 2019

Superpixels Segmentation ⭐ 13

Research internship - Image segmentation by superpixels based on PyTorch

Image Deblurring Using Deep Learning ⭐ 13

PyTorch implementation of image deblurring using deep learning. Use a simple convolutional autoencoder neural network to deblur Gaussian blurred images.

Weak Supervised Rule Text2sql ⭐ 13

Using Database Rule for Weak Supervised Text-to-SQL Generation https://arxiv.org/abs/1907.00620

Pytorch Finetuner ⭐ 13

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