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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/ayulockin/losslandscape

Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.

deep-neural-networks keras loss-landscape neural-networks tensorflow

Last synced: 22 Oct 2024

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: 22 Oct 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: 31 Oct 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/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: 03 Aug 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/pcpLiu/Serrano

A Swift deep learning library with Accelerate and Metal support.

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

Last synced: 14 Aug 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: 03 Aug 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: 22 Oct 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: 02 Aug 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: 01 Aug 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/saareliad/FTPipe

FTPipe and related pipeline model parallelism research.

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

Last synced: 01 Aug 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/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/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: 07 Aug 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: 31 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: 02 Aug 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/corochann/chainer-pointnet

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

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

Last synced: 28 Oct 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/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/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: 11 Oct 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/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/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

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/ibm/max-text-summarizer

Generate a summarized description of a body of text

deep-neural-networks docker-image machine-learning tensorflow-models

Last synced: 10 Oct 2024

https://github.com/fabprezja/keras-gpt-copilot

Integrate an LLM copilot within your Keras model development workflow

deep-learning deep-neural-networks gpt keras llms openai skynet

Last synced: 14 Oct 2024

https://github.com/IBM/MAX-Text-Summarizer

Generate a summarized description of a body of text

deep-neural-networks docker-image machine-learning tensorflow-models

Last synced: 04 Aug 2024

https://github.com/Zhenye-Na/gcn-spp

Shortest Path prediction using Graph Convolutional Networks

deep-neural-networks graph-convolutional-networks shortest-path

Last synced: 02 Nov 2024

https://github.com/yaricom/timeserieslearning

The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.

adagrad adam-optimizer adamax deep-learning deep-neural-networks leaky-relu pca-analysis random-forest-regressor recurrent-neural-networks rmsprop rnn time-series

Last synced: 05 Nov 2024

https://github.com/annamalai-nr/subgraph2vec_tf

This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper

deep-learning deep-neural-networks graph-kernels kdd kernel-methods skipgram tensorflow

Last synced: 30 Oct 2024

https://github.com/andreasmazur/geoconv

A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.

benchmarking convolutional-neural-networks deep-learning deep-neural-networks geodesic-algorithm geometric-deep-learning geometry-processing keras machine-learning neural-network neural-networks tensorflow visualization

Last synced: 13 Oct 2024

https://github.com/altanai/ramudroid

Ramudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming

arduino computer-vision deep-learning deep-neural-networks deep-reinforcement-learning garbage-classification garbage-collection machinelearning motors opencv raspberry-pi robot streaming

Last synced: 02 Nov 2024

https://github.com/warvito/normative-modelling-using-deep-autoencoders

Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease

autoencoder autoencoders deep-autoencoders deep-learning deep-neural-networks neuroimaging normative-modelling

Last synced: 23 Oct 2024

https://github.com/trykatchup/password-similarity-nlp

Password Similarity Detection Using Deep Neural Networks. This project was the case study of my bachelor's thesis.

deep-neural-networks fasttext machine-learning nlp-machine-learning password password-similarity privacy privacy-protection word-embeddings

Last synced: 13 Oct 2024

https://github.com/avhirupc/semantic-image-completion

Implementation of : Semantic Image Inpainting with Perceptual and Contextual Losses Raymond

computer-vision deep-learning deep-neural-networks image-inpainting machine-learning python tensorflow-experiments

Last synced: 10 Oct 2024

https://github.com/ma7555/nndpi

High performance deep packet inspection AI model using neural networks with an embedding layer, 1D Convolution layers and bidirectional gated recurrent unit.

deep-learning deep-neural-networks deep-packet-inspection keras-tensorflow network-security tensorflow tensorflow2

Last synced: 23 Oct 2024

https://github.com/SafeAILab/zkDL

zkDL, an open source toolkit for zero-knowledge proofs of deep learning powered by CUDA

cuda deep-neural-networks gpu-acceleration privacy-enhancing-technologies zero-knowledge-proof

Last synced: 02 Aug 2024

https://github.com/liuruoze/HierNet-SC2

(AAAI'2019) The codes, models, logs, and data for an extended paper of the original paper "On Reinforcement Learning for Full-length Game of StarCraft". AAAI = AAAI Conference on Artificial Intelligence.

deep-learning deep-neural-networks deep-reinforcement-learning hierarchical-reinforcement-learning reinforcement-learning starcraft-ii starcraft2 starcraft2-agents starcraft2-ai

Last synced: 02 Aug 2024

https://github.com/arianhosseini/question-answering

Exploration of various deep neural networks for Question Answering and Reading Comprehension

attention deep-neural-networks question-answering reading-comprehension seq2seq-model squad

Last synced: 26 Oct 2024

https://github.com/proycon/deepfrog

An NLP-suite powered by deep learning

deep-learning deep-neural-networks dutch folia frog nlp transformers

Last synced: 19 Oct 2024

https://github.com/orestis-z/facial-beauty-predictor

Deep learning model to predict a beauty score for faces in images. Outperforms the state-of-the-art by up to 18% (2019).

computer-vision deep-learning deep-neural-networks facial-beauty-prediction scikit-learn tensorflow

Last synced: 28 Oct 2024

https://github.com/pierremtb/pod-uqnn

Uncertainty Quantification in the POD-NN framework

computational-fluid-dynamics deep-neural-networks principal-component-analysis

Last synced: 31 Oct 2024

https://github.com/rasbt/b3-basic-batchsize-benchmark

Experiments for the blog post "No, We Don't Have to Choose Batch Sizes As Powers Of 2"

deep-learning deep-neural-networks machine-learning neural-networks

Last synced: 23 Oct 2024

https://github.com/decisionfacts/semantic-ai

An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).

approximate-nearest-neighbor-search deep-neural-networks document-parser docx fastapi inference-api llama2 llm machine-learning ocr openai openai-api pdf rag retrieval-augmented-generation semantic-search vector-database

Last synced: 11 Oct 2024

Deep neural networks Awesome Lists
awesome-deep-learning-papers 238 Machine-Learning-Tutorials 484 awesome-deep-learning-music 248 Awesome-Learning-with-Label-Noise 276 awesome-deep-trading 94 awesome-colab-notebooks 525 awesome-transformers-in-medical-imaging 202 awesome-emdl 147 Awesome-Speech-Enhancement 105 awesome-multi-task-learning 225 Awesome-3D-Object-Detection 169 awesome-full-stack-machine-learning-courses 106 Awesome-Distributed-Deep-Learning 44 awesome-gans-and-deepfakes 61 Awesome-Information-Bottleneck 201 awesome-video-object-detection 41 awesome-deep-neuroevolution 200 awesome-deep-reinforcement-learning 257 awesome-deepneuroimage 73 awesome-ai-cancer 193 Best-Audio-Classification-Resources-with-Deep-learning 259 awesome-tensorial-neural-networks 99 awesome-ai-brain-computer-interface 97 awesome-speech-emotion-recognition 114 LiDAR-Guide 176 awesome-deepnote 41 CoreML-Guide 333 Awesome-Computational-Structural-Biology 40 awesome-experimental-standards-deep-learning 34 PyTorch-Guide 616 Awesome-Cloud-Edge-AI 58 awesome-approximate-dnn 78 Deep-Learning 38 awesome-deep-learning-materials 69 awesome-data-science 93 TensorFlow-Guide 819 awesome-ai-cybersecurity 158 awesome-optimizers 46 awesome-ai 107
Deep neural networks Categories
Papers 947 Uncategorized 556 Classification COVID19 (Separate section due to its current significance) 408 Papers & Code 408 DL4M summary 360 Introduction 331 Overview 256 Tutorials 241 Other useful related lists and resources 201 Research 197 Neural Networks (NN) and Deep Neural Networks (DNN) 189 Architecture 131 Deep Learning 113 C/C++ Learning Resources 102 Further Reading 100 Tools for Robotics 95 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Paper: 82 5. Applications (General) 80