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Deep neural networks

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.

https://github.com/sayakpaul/sharpness-aware-minimization-tensorflow

Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.

computer-vision deep-neural-networks generalization loss-landscape tensorflow tpu-acceleration

Last synced: 28 Dec 2024

https://github.com/maxmekiska/imbrium

Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.

deep-learning deep-neural-networks keras tensorflow time-series

Last synced: 14 Nov 2024

https://github.com/hichoe95/Rarity-Score

[ICLR-2023] Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images

deep-neural-networks generative-model metric

Last synced: 15 Nov 2024

https://github.com/nazmul-karim170/UNICON

[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

contrastive-learning deep-learning deep-neural-networks jensen-shannon-divergence label-noise-robustness machine-learning noisy-labels semi-supervised-learning

Last synced: 05 Nov 2024

https://github.com/pcpLiu/Serrano

A Swift deep learning library with Accelerate and Metal support.

deep-learning deep-neural-networks ios machine-learning macos swift

Last synced: 06 Dec 2024

https://github.com/geoffxy/habitat

🔮 Execution time predictions for deep neural network training iterations across different GPUs.

deep-learning deep-neural-networks gpu neural-networks performance performance-prediction

Last synced: 02 Nov 2024

https://github.com/hristo-vrigazov/dnn.cool

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.

catalyst deep-learning deep-neural-network deep-neural-networks multitask-learning multitasking pytorch task-composition task-precondition

Last synced: 21 Dec 2024

https://github.com/26hzhang/dense_bilstm

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

deep-neural-networks highway-network lstm rnn sentence-classification tensorflow

Last synced: 28 Nov 2024

https://github.com/rangilyu/mobilenext

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

deep-neural-networks mobilenet pytorch

Last synced: 06 Dec 2024

https://github.com/iver56/image-regression

A DNN that takes in x, y and outputs colors at that point to approximately "paint" an image. A toy problem.

deep-neural-networks dnn image keras python regression

Last synced: 27 Oct 2024

https://github.com/mdsunivie/deeperwin

DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing when optimizing wave functions for multiple nuclear geometries and the usage of pre-trained neural network weights to accelerate optimization.

deep-learning deep-neural-networks physical-chem quantum-monte-carlo schrodinger-equation transfer-learning variational-monte-carlo weight-sharing

Last synced: 13 Nov 2024

https://github.com/benedekrozemberczki/feather

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

data-mining deep-learning deep-neural-networks deepwalk graph graph-classification graph-convolution graph-embedding graph-kernel graph2vec machine-learning network-embedding networkx neural-network node-classification node-embedding node2vec pytorch representation-learning tensorflow

Last synced: 14 Nov 2024

https://github.com/onnx/onnx-r

R Interface to Open Neural Network Exchange (ONNX)

cran deep-learning deep-neural-networks onnx rstats

Last synced: 11 Nov 2024

https://github.com/sidgan/whats_in_a_question

CVPR'17 Spotlight: What’s in a Question: Using Visual Questions as a Form of Supervision

computer-vision deep-learning deep-neural-networks vqa

Last synced: 02 Nov 2024

https://github.com/benedekrozemberczki/FEATHER

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

data-mining deep-learning deep-neural-networks deepwalk graph graph-classification graph-convolution graph-embedding graph-kernel graph2vec machine-learning network-embedding networkx neural-network node-classification node-embedding node2vec pytorch representation-learning tensorflow

Last synced: 08 Nov 2024

https://github.com/sanechips-multimedia/syenet

SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device, in ICCV 2023

computer-vision deep-neural-networks

Last synced: 28 Oct 2024

https://github.com/joisino/speedbook

書籍『深層ニューラルネットワークの高速化』のサポートサイトです。

deep-learning deep-neural-networks distillation efficiency neural-networks pruning pytorch quantization

Last synced: 10 Oct 2024

https://github.com/saareliad/FTPipe

FTPipe and related pipeline model parallelism research.

deep-neural-networks distributed-training fine-tuning nlp pipeline-parallelism t5

Last synced: 07 Nov 2024

https://github.com/yu-iskw/google-cloud-deep-learning-kit

Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker

deep-learning deep-neural-networks docker google-cloud gpu jupyter keras nvidia-docker tensorflow

Last synced: 05 Nov 2024

https://github.com/ofnote/tsanley

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

deep-learning deep-neural-networks neural-networks numpy pytorch tensorflow

Last synced: 11 Oct 2024

https://github.com/JeffWang0325/Image-Identification-for-Self-Driving-Cars

🖍️ 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.

computer-vision convolutional-neural-networks deep-learning deep-neural-networks dr droidcam python pytorch real-time-detection self-driving-car tensorflow tkinter tkinter-gui tkinter-python traffic-light-classification traffic-sign-classification webcam webcam-capture yolo yolov5

Last synced: 09 Nov 2024

https://github.com/charlesll/i-melt

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

deep-learning deep-neural-networks geosciences glass machine-learning material pgnn python pytorch

Last synced: 25 Dec 2024

https://github.com/karolzak/cntk-hotel-pictures-classificator

This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a picture of bathroom, bedroom, hotel front, swimming pool, bar, etc.

ai alexnet-model classification cntk cntk-model cognitive-toolkit deep-learning deep-neural-networks dsvm faster-rcnn machine-learning ml object-classification object-detection python transfer-learning

Last synced: 22 Oct 2024

https://github.com/mravanelli/pytorch_MLP_for_ASR

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.

asr cuda deep-learning deep-neural-networks feedforward-neural-network kaldi kaldi-asr mlp multilayer-perceptron neural-networks python pytorch speech-recognition timit

Last synced: 27 Nov 2024

https://github.com/mravanelli/pytorch_mlp_for_asr

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.

asr cuda deep-learning deep-neural-networks feedforward-neural-network kaldi kaldi-asr mlp multilayer-perceptron neural-networks python pytorch speech-recognition timit

Last synced: 02 Dec 2024

https://github.com/adityashrm21/information-theory-deep-learning

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

deep-learning deep-neural-networks information-theory neural-networks pytorch

Last synced: 11 Nov 2024

https://github.com/ahmedfgad/introdlpython

This repository is updated by a number of introductory projects to deep learning with Python.

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks gradient-descent numpy python

Last synced: 17 Nov 2024

https://github.com/corochann/chainer-pointnet

Chainer implementation of PointNet, PointNet++, KD-Network and 3DContextNework

chainer classification cupy deep-learning deep-neural-networks pointnet segmentation

Last synced: 08 Nov 2024

https://github.com/vita-group/usaid

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

deep-neural-networks denoising pytorch segmentation-aware unsupervised-learning

Last synced: 16 Nov 2024

https://github.com/mravanelli/theano-kaldi-rnn

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

deep-learning deep-neural-networks gated-recurrent-units gru kaldi recurrent-neural-networks rnn theano theano-kaldi-rnns timit

Last synced: 02 Dec 2024

https://github.com/alexandra-chron/ntua-slp-wassa-iest2018

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

deep-learning deep-neural-networks emotion-analysis language-models lstm python pytorch sentiment-analysis transfer-learning twitter

Last synced: 05 Nov 2024

https://github.com/charmve/transparent-object-segmentation

💎 Transparent objects such as windows and bottles made by glass widely exist in the real world. Segmenting transparent objects is challenging because these objects have diverse appearance inherited from the image background, making them had similar appearance with their surroundings.

cvpr deep-learning deep-neural-networks eccv glasses object-detection paper semantic-segmentation transparent

Last synced: 15 Nov 2024

https://github.com/wukevin/babel

Deep learning model for single-cell inference of multi-omic profiles from a single input modality.

deep-neural-networks multi-omics scatac-seq scrna-seq single-cell

Last synced: 24 Nov 2024

https://github.com/louisyuzhe/MachineLearning_NILM

Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation

deep deep-neural-networks denoising-autoencoders energy-disaggregation lstm-neural-networks machine-learning nilm resnet

Last synced: 06 Nov 2024

https://github.com/hellloxiaotian/swcnn

A self-supervised CNN for image watermark removal (IEEE Transactions on Circuits and Systems for Video 2024)

cnn deep-learning deep-neural-networks python pytorch self-supervised-learning unet watermark-removal

Last synced: 11 Nov 2024

https://github.com/soumik12345/nearest-celebrity-face

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

deep-learning deep-neural-networks deeplearning face face-recognition facenet facenet-model inception inception-resnet-v2 inceptionv2 keras keras-neural-networks keras-tensorflow machine-learning machinelearning meta-learning one-shot-learning python python3 tensorflow

Last synced: 02 Nov 2024

https://github.com/prudhvignv/speech-emotion-recognization

Speech Emotion Detection using SVM, Decision Tree, Random Forest, MLP, CNN with different architectures

cnn deep-learning deep-neural-networks ipynb machine-learning-algorithms mlp ravdass speech-emotion-detection svm

Last synced: 11 Oct 2024

https://github.com/memo/py-msa-kdenlive

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

deep-learning deep-neural-networks generative-adversarial-network generative-art generative-model human-computer-interaction machine-learning video-editing video-editor

Last synced: 13 Nov 2024

https://github.com/tikam02/crowdestimation

Crowd Density Estimation Using - DeepLearning

deep-neural-networks

Last synced: 27 Oct 2024

https://github.com/galliot-us/models

Neuralet edge deep learning models library. Neuralet is an open-source platform for edge deep learning models on GPU, TPU, and more.

coral-tpu deep-learning deep-neural-networks edge-ai edge-computing edgetpu jetson-nano

Last synced: 06 Nov 2024

https://github.com/podgorskiy/tensor4

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

cpp deep-learning deep-neural-networks generator python pytorch tensor

Last synced: 22 Oct 2024

https://github.com/dnlcrl/pyfunt

Pythonic Deep Learning Framework Inspired by Torch's Neural Network package

convolutional-neural-networks cython deep-learning deep-neural-networks deeplearning neural-network numpy pyfunt python torch

Last synced: 20 Nov 2024

https://github.com/yu4u/imgcrop

Simple image augmentation library focusing on random geometric cropping

augmentation convolutional-neural-networks deep-learning deep-neural-networks image-processing python segmentation

Last synced: 29 Oct 2024