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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/natanielruiz/deep-head-pose

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

deep-learning deep-neural-networks face-pose gaze gaze-estimation head head-pose head-pose-estimation

Last synced: 20 Nov 2024

https://github.com/pathak22/noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

curiosity deep-learning deep-neural-networks deep-reinforcement-learning doom exploration mario openai-gym rl self-supervised tensorflow

Last synced: 29 Dec 2024

https://github.com/mic-dkfz/medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

3d-mask-rcnn 3d-models 3d-object-detection deep-learning deep-neural-networks detection mask-rcnn medical-image-analysis medical-image-computing medical-image-processing medical-imaging object-detection pytorch-cnn pytorch-deeplearning pytorch-implementation retina-net retina-unet segmentation semantic-segmentation u-net

Last synced: 26 Dec 2024

https://github.com/ddz16/TSFpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

deep-learning deep-neural-networks paper-lists rnn spatial-temporal-forecasting spatio-temporal spatio-temporal-data spatio-temporal-prediction tcn time-series time-series-analysis time-series-forecasting time-series-models time-series-prediction transformer

Last synced: 12 Nov 2024

https://github.com/ddz16/tsfpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

deep-learning deep-neural-networks paper-lists rnn spatial-temporal-forecasting spatio-temporal spatio-temporal-data spatio-temporal-prediction tcn time-series time-series-analysis time-series-forecasting time-series-models time-series-prediction transformer

Last synced: 02 Dec 2024

https://github.com/MIC-DKFZ/medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

3d-mask-rcnn 3d-models 3d-object-detection deep-learning deep-neural-networks detection mask-rcnn medical-image-analysis medical-image-computing medical-image-processing medical-imaging object-detection pytorch-cnn pytorch-deeplearning pytorch-implementation retina-net retina-unet segmentation semantic-segmentation u-net

Last synced: 15 Nov 2024

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

Tensorflow Backend for ONNX

deep-learning deep-neural-networks onnx tensorflow

Last synced: 26 Dec 2024

https://github.com/linkedin/detext

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

classification deep-neural-networks detext-framework nlp ranking text-embeddings

Last synced: 28 Dec 2024

https://github.com/kyegomez/bitnet

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

artificial-intelligence deep-neural-networks deeplearning gpt4 machine-learning multimodal multimodal-deep-learning

Last synced: 28 Dec 2024

https://github.com/kyegomez/BitNet

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

artificial-intelligence deep-neural-networks deeplearning gpt4 machine-learning multimodal multimodal-deep-learning

Last synced: 06 Nov 2024

https://github.com/rail-berkeley/softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

deep-learning deep-neural-networks deep-reinforcement-learning machine-learning reinforcement-learning soft-actor-critic

Last synced: 29 Dec 2024

https://github.com/interdigitalinc/compressai

A PyTorch library and evaluation platform for end-to-end compression research

compression deep-learning deep-neural-networks machine-learning neural-network python pytorch

Last synced: 26 Dec 2024

https://github.com/doonny/PipeCNN

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

altera-opencl-sdk deep-learning deep-neural-networks fpga fpga-accelerator hardware hls opencl

Last synced: 26 Oct 2024

https://github.com/InterDigitalInc/CompressAI

A PyTorch library and evaluation platform for end-to-end compression research

compression deep-learning deep-neural-networks machine-learning neural-network python pytorch

Last synced: 13 Nov 2024

https://github.com/abhishekkrthakur/tez

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

deep-learning deep-neural-networks neural-networks pytorch tez

Last synced: 28 Dec 2024

https://github.com/arm-software/ml-kws-for-mcu

Keyword spotting on Arm Cortex-M Microcontrollers

arm cmsis-nn deep-neural-networks machine-learning microcontrollers python

Last synced: 22 Dec 2024

https://github.com/ARM-software/ML-KWS-for-MCU

Keyword spotting on Arm Cortex-M Microcontrollers

arm cmsis-nn deep-neural-networks machine-learning microcontrollers python

Last synced: 03 Nov 2024

https://github.com/algotraders/stock-analysis-engine

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

algorithmic-trading backtesting deep-learning deep-learning-tutorial deep-neural-networks docker helm helm-charts iex iexcloud jupyter keras kubernetes minio options redis s3 stocks tensorflow tradier

Last synced: 28 Dec 2024

https://github.com/AlgoTraders/stock-analysis-engine

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

algorithmic-trading backtesting deep-learning deep-learning-tutorial deep-neural-networks docker helm helm-charts iex iexcloud jupyter keras kubernetes minio options redis s3 stocks tensorflow tradier

Last synced: 01 Nov 2024

https://github.com/BMW-InnovationLab/BMW-TensorFlow-Training-GUI

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

computer-vision computervision deep-learning deep-neural-networks deeplearning detection-api docker gui inference-api machine-learning neural-network no-code object-detection objectdetection resnet rest-api tensorboard tensorflow tensorflow-gui tensorflow2

Last synced: 06 Nov 2024

https://github.com/PAIR-code/saliency

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

convolutional-neural-networks deep-learning deep-neural-networks ig-saliency image-recognition machine-learning object-detection saliency saliency-map smoothgrad tensorflow

Last synced: 15 Nov 2024

https://github.com/thoughtworksarts/EmoPy

A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

deep-neural-networks emotion emotion-recognition face facial-expression-recognition fer neural-nets neural-network python

Last synced: 15 Nov 2024

https://github.com/Tiramisu-Compiler/tiramisu

A polyhedral compiler for expressing fast and portable data parallel algorithms

code-generation compiler deep-neural-networks library linear-algebra machine-learning optimization tensor-algebra tensors

Last synced: 09 Nov 2024

https://github.com/MingSun-Tse/EfficientDNNs

Collection of recent methods on (deep) neural network compression and acceleration.

deep-learning deep-neural-networks efficient-deep-learning knowledge-distillation model-compression network-pruning

Last synced: 03 Nov 2024

https://github.com/MingSun-Tse/Efficient-Deep-Learning

Collection of recent methods on (deep) neural network compression and acceleration.

deep-learning deep-neural-networks efficient-deep-learning knowledge-distillation model-compression network-pruning

Last synced: 27 Oct 2024

https://github.com/codebasics/deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

deep-learning deep-neural-networks keras keras-tensorflow mnist object-detection tensorflow

Last synced: 28 Dec 2024

https://github.com/santi-pdp/segan

Speech Enhancement Generative Adversarial Network in TensorFlow

deep-learning deep-neural-networks gan generative-adversarial-networks generative-model speech tensorflow

Last synced: 22 Nov 2024

https://github.com/itdxer/neupy

NeuPy is a Tensorflow based python library for prototyping and building neural networks

artificial-neural-networks boltzmann-machine deep-learning deep-neural-networks deeplearning hopfield lvq neupy neural-network pnn rbm sofm som tensorflow

Last synced: 25 Dec 2024

https://github.com/dyelax/Adversarial_Video_Generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

adversarial-networks deep-learning deep-neural-networks gan generative-adversarial-network video-prediction-models

Last synced: 27 Nov 2024

https://github.com/ibm/ffdl

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

ai artificial-intelligence caffe deep-learning deep-neural-networks deeplearning ibm-research-ai jupyter keras kubernetes-cluster machine-learning ml model python pytorch storage tensorflow watson

Last synced: 23 Dec 2024

https://github.com/jiazhihao/taso

The Tensor Algebra SuperOptimizer for Deep Learning

deep-learning deep-neural-networks inference-optimization

Last synced: 25 Dec 2024

https://github.com/jiazhihao/TASO

The Tensor Algebra SuperOptimizer for Deep Learning

deep-learning deep-neural-networks inference-optimization

Last synced: 05 Nov 2024

https://github.com/d-li14/mobilenetv2.pytorch

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

cvpr2018 deep-neural-networks imagenet mobilenetv2 pretrained-models pytorch

Last synced: 28 Dec 2024

https://github.com/intel/ai-reference-models

Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs

ai cpu deep-learning deep-neural-networks inference performance tensorflow

Last synced: 23 Nov 2024

https://github.com/cure-lab/scinet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

deep-neural-networks forecasting temporal-networks time-series time-series-analysis time-series-forecasting

Last synced: 25 Dec 2024

https://github.com/yinguobing/cnn-facial-landmark

Training code for facial landmark detection based on deep convolutional neural network.

cnn convolution-neural-network deep-neural-networks tensorflow

Last synced: 28 Dec 2024

https://github.com/tusimple/tusimple-duc

Understanding Convolution for Semantic Segmentation

cityscapes convolution deep-learning deep-neural-networks mxnet python semantic-segmentation

Last synced: 28 Dec 2024

https://github.com/TuSimple/TuSimple-DUC

Understanding Convolution for Semantic Segmentation

cityscapes convolution deep-learning deep-neural-networks mxnet python semantic-segmentation

Last synced: 08 Nov 2024

https://github.com/jiahuiyu/wdsr_ntire2018

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

deep-neural-networks efficient-algorithm pytorch super-resolution wdsr

Last synced: 29 Dec 2024

https://github.com/JiahuiYu/wdsr_ntire2018

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

deep-neural-networks efficient-algorithm pytorch super-resolution wdsr

Last synced: 26 Nov 2024

https://github.com/yu4u/convnet-drawer

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

convolutional-neural-networks deep-neural-networks keras python-pptx visualization

Last synced: 29 Dec 2024

https://github.com/AlaaLab/deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

deep-learning deep-neural-networks prediction-uncertainty uncertainty-estimation uncertainty-quantification

Last synced: 25 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 539 awesome-transformers-in-medical-imaging 202 awesome-emdl 147 Awesome-Speech-Enhancement 105 awesome-multi-task-learning 229 Awesome-3D-Object-Detection 169 awesome-full-stack-machine-learning-courses 106 Awesome-Distributed-Deep-Learning 44 Awesome-Information-Bottleneck 201 awesome-gans-and-deepfakes 61 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-graph-research-iclr2024 34 awesome-ai-brain-computer-interface 111 awesome-speech-emotion-recognition 119 LiDAR-Guide 176 awesome-deepnote 41 CoreML-Guide 333 awesome-experimental-standards-deep-learning 34 Awesome-Computational-Structural-Biology 40 PyTorch-Guide 616 Awesome-Cloud-Edge-AI 58 Deep-Learning 38 awesome-approximate-dnn 78 awesome-ai-cybersecurity 158 awesome-deep-learning-materials 69 awesome-data-science 93 TensorFlow-Guide 819 awesome-optimizers 46 awesome-ai 107
Deep neural networks Categories
Papers 946 Uncategorized 557 Classification COVID19 (Separate section due to its current significance) 462 Papers & Code 416 DL4M summary 358 Introduction 355 Overview 292 Tutorials 240 Other useful related lists and resources 201 Neural Networks (NN) and Deep Neural Networks (DNN) 197 Research 197 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Further Reading 100 Tools for Robotics 94 Paper: 91 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 Paper (Lidar-based method) 80