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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: 04 Aug 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 Oct 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: 15 Oct 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 Aug 2024

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

Tensorflow Backend for ONNX

deep-learning deep-neural-networks onnx tensorflow

Last synced: 14 Oct 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: 03 Aug 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 Oct 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: 14 Oct 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/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/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 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: 15 Oct 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: 11 Oct 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/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: 30 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: 02 Aug 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/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: 11 Oct 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: 03 Aug 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: 03 Aug 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: 02 Aug 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/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/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: 05 Aug 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: 01 Nov 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: 07 Aug 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: 29 Oct 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/jiazhihao/taso

The Tensor Algebra SuperOptimizer for Deep Learning

deep-learning deep-neural-networks inference-optimization

Last synced: 30 Oct 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: 01 Aug 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: 07 Aug 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 Oct 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

https://github.com/intel/clDNN

Compute Library for Deep Neural Networks (clDNN)

cldnn deep-learning deep-neural-networks intel intel-hd-graphics

Last synced: 26 Oct 2024

https://github.com/mozilla/firefox-translations

Firefox Translations is a webextension that enables client side translations for web browsers.

deep-neural-networks firefox javascript nlp nmt translation webextension

Last synced: 27 Oct 2024

https://github.com/BichenWuUCB/SqueezeSeg

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

autonomous-vehicles deep-neural-networks lidar-point-cloud

Last synced: 28 Oct 2024

https://github.com/PRBonn/LiDAR-MOS

(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

deep-learning deep-neural-networks dynamic-slam lidar lidar-slam mapping motion-detection moving-object-segmentation point-cloud segmentation slam

Last synced: 28 Oct 2024

https://github.com/memo/ofxMSATensorFlow

C++ openframeworks addon and examples integrating Google's TensorFlow numerical computation and machine learning library

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks machine-learning openframeworks openframeworks-addon tensorflow

Last synced: 01 Aug 2024

https://github.com/ruiminshen/yolo2-pytorch

PyTorch implementation of the YOLO (You Only Look Once) v2

caffe2 computer-vision deep-learning deep-neural-networks object-detection onnx python pytorch yolo2

Last synced: 04 Nov 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 C/C++ Tools and Frameworks 80