Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

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/petarv-/deep-lossy-fun

Accompanying demos for my TCES talk on loss function engineering

adversarial-inputs deep-neural-networks deepdream image-processing keras loss-functions neural-style vgg16

Last synced: 09 Nov 2024

https://github.com/acly/dlimgedit

A C++ library for image painting and editing workflows which make use of deep learning.

cpp deep-neural-networks image-editing image-segmentation native onnx

Last synced: 12 Nov 2024

https://github.com/choyingw/gais-net

CVPR 2020 Workshop on Scalability in Autonomous Driving: GAIS-Net: Geometry-Aware Instance Segmentation with Disparity Maps

3d autonomous-vehicles computer-vision cvpr2020 deep-neural-networks geometry-processing instance-segmentation mask-rcnn multimodal-deep-learning scalability stereo-vision

Last synced: 06 Nov 2024

https://github.com/meqdaddev/teachable-machine

A Python package designed to simplify the integration of exported models from Google's Teachable Machine platform into various environments.

classification-algorithm cnn-classification deep-learning deep-neural-networks image-classification image-processing keras machine-learning opencv opencv-python python

Last synced: 28 Oct 2024

https://github.com/uber-research/fsdm

Code tor the SIGDIAL 2019 paper Flexibly-Structured Model for Task-Oriented Dialogues. It implements a deep learning end-to-end differentiable dialogue system model

deep-learning deep-neural-networks dialogue-agents dialogue-systems natural-language-generation natural-language-processing natural-language-understanding

Last synced: 25 Nov 2024

https://github.com/jiweiqi/nnsubspace

Uncertainty Propagation in Deep Neural Network Using Active Subspace

active-subspace adversarial-example deep-neural-networks uncertainty-quantification

Last synced: 21 Nov 2024

https://github.com/darkmatter18/underwater-image-enhancement

A Deep Learning CycleGAN Based application, that can enhance the underwater images.

cyclegan deep-learning deep-neural-networks enhancement gan pytorch underwater-images

Last synced: 24 Oct 2024

https://github.com/georgeerol/deeplearningdronesimulator

This project is about training a deep neural network to identify and track a target in simulation so-called “follow me”. Applications like this are key to many fields of robotics and the very same techniques you apply here can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration in industry.

deep-learning deep-neural-networks robotics segmentation simulation tensorflow

Last synced: 13 Nov 2024

https://github.com/dn070017/variational-autoencoders

Beta-VAE, Conditional-VAE, Total Correlation-VAE, FactorVAE, Relevance Factor-VAE, Multi-Level VAE, (Soft)-IntroVAE (Beta-Version), LVAE, VLAE, VaDE and MFCVAE implemented in Tensorflow 2

deep-neural-networks tensorflow2 variational-autoencoder

Last synced: 14 Nov 2024

https://github.com/0101011/bootstrap-ml

A comprehensive collection of pre-written code for machine learning and deep learning use cases, all in one convenient place. Whether you're a seasoned practitioner or just starting your ML journey, this repository provides a solid foundation to build upon.

deep-learning deep-neural-networks documentation machine-learning tensorflow tensorflow-examples tensorflow-tutorials

Last synced: 09 Nov 2024

https://github.com/ahammadmejbah/artificial-intelligence-research-and-development-projects

The field of Artificial Intelligence (AI) is a frontier of computer science that focuses on creating systems capable of performing tasks that would typically require human intelligence. This encompasses a wide range of capabilities such as visual perception, speech recognition, decision-making, and language translation.

data-engineering data-science data-visualization database datascience deep-learning deep-learning-algorithms deep-neural-networks deep-reinforcement-learning machine-learning machine-learning-algorithms machine-vision machinelearning

Last synced: 11 Nov 2024

https://github.com/bradflaugher/ai-harmony-book

The source text and LaTeX formatting for AI Harmony by Brad Flaugher

deep-neural-networks latex latex-document machine-learning

Last synced: 11 Oct 2024

https://github.com/lukaszbinden/spatial-broadcast-decoder

Spatial Broadcast Decoder Tensorflow Implementation

deep-neural-networks representation-learning tensorflow

Last synced: 25 Oct 2024

https://github.com/praveen1664/deeplearning-architectures

This is one of the deep learning architecture, machine learning, CNN, RNN based on tensorflow, pytorch, tensorboard

celeba convolutional-neural-network deep deep-neural-networks ipynb pytorch tensorflow

Last synced: 11 Oct 2024

https://github.com/touhi99/dl_dialogue_act_classification

DL Lab Project - Given a subset of switchboard corpus, goal is to classify dialogue acts from Speech and Text data. We define a RNN-LSTM model for Text classification and CNN model for speech classification and then ensemble both model to output a stable and higher performance model

classification cnn deep-learning deep-neural-networks dialogue dialogue-act embedding-models keras rnn

Last synced: 17 Nov 2024

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

This is an implementation of our paper "HybridRepair: Towards Annotation-Efficient Repair for Deep Learning Models", which will be presented in ISSTA'22.

deep-neural-networks semi-supervised-learning testing

Last synced: 14 Nov 2024

https://github.com/shubham3121/laymon

A Python based library used to visualise features maps of a neural network.

deep-neural-networks feature-extraction python pytorch

Last synced: 24 Oct 2024

https://github.com/xunzhuo/lstm-music

👉趣味小项目：通过LSTM 基于Keras做古典音乐🎵

deep-learning deep-neural-networks keras lstm lstm-neural-networks

Last synced: 13 Oct 2024

https://github.com/vmirly/the-art-of-deep-learning

Deep learning resources: articles, tutorials, ...

deep-learning deep-neural-networks machine-learning

Last synced: 15 Nov 2024

https://github.com/aditya30394/reverse-image-captioning

Text to Image Generation (Reverse image captioning): This task is just the reverse of image captioning task. Here, we are trying to generate the images that best fits the textual description.

cnn deep-learning deep-neural-networks gan generative-adversarial-network image-generation python pytorch

Last synced: 17 Oct 2024

https://github.com/matteofasulo/weaviate-search-engine

Vector database (Weaviate) to build an image search engine powered by a deep neural network

deep-neural-networks docker docker-compose python streamlit weaviate

Last synced: 19 Nov 2024

https://github.com/jash271/detect_mask

Python Package to detect mask in input photo or pull out the cam for real time mask detection ,download the module from here :- https://pypi.org/project/detect-mask/

deep-learning deep-neural-networks fastai pip-package pkl pypi-package python-package python3 transfer-learning windows

Last synced: 08 Jan 2025

https://github.com/mr7495/Pesteh-Set

Pesteh-Set, the pistachios dataset from the paper https://doi.org/10.1007/s42044-021-00090-6

closed-mouth-pistachios computer-vision deep-learning deep-neural-networks open-mouth-pistachios pistachio

Last synced: 05 Nov 2024

https://github.com/ac-alpha/vaes-using-pytorch

Variational Autoencoders trained on MNIST Dataset using PyTorch

deep-learning deep-neural-networks pytorch pytorch-cnn pytorch-implmention vae

Last synced: 19 Nov 2024

https://github.com/vpanjeta/style-transfer

A deep learning model using keras to transfer the style of a texture or a famous painter to a base image

cnn-keras deep-learning deep-neural-networks deeplearning jupyter-notebook style-transfer

Last synced: 07 Nov 2024

https://github.com/soskek/weight_normalization

Weight Normalization (Salimans and Kingma, 2016) by Chainer

chainer deep-learning deep-neural-networks machine-learning nips-2016 openai

Last synced: 16 Nov 2024

https://github.com/samarjit98/cat-breeds

Cat breed classification using RowCNN and deriving inter-breed relationships

clustering computer-vision convolutional-neural-networks deep-learning deep-neural-networks dendrogram python3 pytorch

Last synced: 30 Nov 2024

https://github.com/bokutotu/zenu

Deep Learning Framework Written in Rust

ai autograd blas cublas cuda cudnn deep-learning deep-neural-networks gpu-computing hpc rust

Last synced: 15 Dec 2024

https://github.com/maksof-jawad/awesome-ai

Learn Awesome list for all things AI, ML and deep learning can do

ai aritificial-intelligence course deep-neural-networks learning machine-learning tutorials

Last synced: 05 Dec 2024

https://github.com/rwightman/tensorflow-speech_commands

Speech commands training/models from TF repo adapted for speech commands Kaggle

deep-neural-networks kaggle speech-recognition tensorflow

Last synced: 05 Dec 2024

https://github.com/devkihyun/neural-style-transfer-tensorflow-keras

Tensorflow(using keras pretrained model) implementation of 'Image Style Transfer Using Convolutional Neural Networks'

deep-neural-networks keras python style-transfer tensorflow

Last synced: 31 Dec 2024

https://github.com/liuruoze/betastar

(SSCAIT'2019) BetaStar is a StarCraft AI, written by a team at Nanjing University. It is written for StarCraft I. SSCAIT=Student StarCraft AI Tournament.

competition-code cplusplus deep-neural-networks machine-learning python scripted-agent starcraft starcraft-bot starcraft-broodwar supervised-learning

Last synced: 07 Nov 2024

https://github.com/dansuh17/pytorch-land

[BETA] Easy-to-use pytorch model trainer, dataloader creators, and utilities + my own implementations of select models

cyclegan deep-learning deep-neural-networks gan generative-adversarial-network generative-model python3 pytorch wgan wgan-gp

Last synced: 14 Oct 2024

https://github.com/shreyasbapat/fabric-detection

Detecting Fabric by Deep Learning Approach : Includes Classification and Matching the fabric. This enables a user to perform a search based on the fabric on top e-shopping websites like Amazon and Flipkart if integrated

autoencoder cnn-keras deep-learning deep-neural-networks fabric fabric-detection siamese-network tsne

Last synced: 10 Dec 2024

https://github.com/samarjit98/Cat-Breeds

Cat breed classification using RowCNN and deriving inter-breed relationships

clustering computer-vision convolutional-neural-networks deep-learning deep-neural-networks dendrogram python3 pytorch

Last synced: 25 Nov 2024

https://github.com/bcgsc/terminitor

Deep Neural Network model that predicts polyadenylation sites

deep-neural-networks deeplearning polyadenylation

Last synced: 09 Nov 2024

https://github.com/jaypmorgan/neuralverifier.jl

Formal Verification of Deep Neural Networks in Julia

deep-learning deep-neural-networks fluxml machine-learning verification

Last synced: 21 Nov 2024

https://github.com/aianytime/fishvision

FishVision built using Streamlit identifies the different species of Fishes in a given image. It is trained on "A Large Scale Fish Data" available on Kaggle using the pre-trained model "MobileNetV2".

data-science deep-learning deep-neural-networks heroku heroku-deployment machine-learning machine-learning-algorithms mobilenetv2 python python3 streamlit streamlit-webapp

Last synced: 28 Dec 2024

https://github.com/jdleesmiller/carnd-cloning

Train a driverless car to drive around a simulated race track using end-to-end deep learning — from camera images to steering commands. This is the code for my 'Zero to Driverless Race Car with Deep Learning' blog post and talk.

car convolutional-neural-networks deep-learning deep-neural-networks driverless inception ipython-notebook

Last synced: 07 Jan 2025

https://github.com/jay-johnson/antinex-client

AntiNex python client for training and using pre-trained deep neural networks with JWT authentication

ai ai-security anti-nex artificial-intelligence deep-neural-networks jwt keras python rest-client tensorflow

Last synced: 10 Oct 2024

https://github.com/lucasb-eyer/backprop.jl

Textbook implementation of backprop (from the Jacobian point of view) in Julia.

backpropagation backpropagation-learning-algorithm deep-learning deep-neural-networks exercise-solutions julia julia-language

Last synced: 23 Dec 2024

https://github.com/anonym0uswork1221/jaraconverse-transformersbased

This JaraConverse model is a cutting-edge Transformer-based supervised Language Model (LLM) specifically designed for generating Python code snippets.

ai code-generator conversational-ai deep-neural-networks keras keras-nlp large-language-model llm machine-learning optimized python scratch tensoflow transformers transformers-models

Last synced: 10 Oct 2024

https://github.com/camara94/convolutional-neural-networks-tensorflow

In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models.

computer-vision convolutional-neural-networks data-science deep-learning deep-neural-networks tensorflow

Last synced: 05 Nov 2024

https://github.com/starxsky/tacotron2-jp

Base on "tacotron2-jpanese" builded & change

deep-neural-networks gpu metal-performance-shaders pytorch tacotron tts

Last synced: 12 Nov 2024

https://github.com/ahammadmejbah/becoming-a-python-developer

Becoming a Python developer involves mastering the Python programming language, understanding its syntax, and learning popular frameworks. Gain proficiency in web development, data analysis, or automation. Collaborate on projects, build a strong portfolio, and stay updated on industry trends to excel in this dynamic and versatile field.

algorithms algorithms-and-data-structures data-science deep deep-learning deep-neural-networks machine-learning machine-learning-algorithms machinelearning python python3

Last synced: 11 Nov 2024

https://github.com/skalskip/yolov5js-zoo

Repository of pre-trained YOLOv5 models in tensorflow.js format

ai deep-learning deep-neural-networks javascript machine-learning tensorflowjs typescript yolo yolov5

Last synced: 27 Oct 2024

https://github.com/stefanolusardi/tiny_inference_engine

Client/Server system to perform distributed inference on high load systems.

ai cmake conan cpp deep-neural-networks docker grpc inference-client inference-engine inference-server kserve onnxruntime

Last synced: 10 Nov 2024

https://github.com/saikiran6694/product_classification

This is my Final Year Major Project. The idea behind this project is to develop a deep learning model for sentimental analysis of the users emotion toward the product and provide insight to design which further helps in improvement of the product.

deep-learning deep-neural-networks jupyter-notebook python

Last synced: 10 Dec 2024

https://github.com/kahnvex/slugnet

An experimental deep learning library, dormant since 2017

deep-learning deep-neural-networks neural-networks numpy

Last synced: 03 Dec 2024

https://github.com/deeplite/activ-sparse

Official PyTorch training code of Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity (ICCV2023-RCV)

deep-neural-networks efficient-deep-learning efficient-inference low-latency raspberry-pi sparsity tinyml

Last synced: 04 Jan 2025

https://github.com/sajed-zarrinpour/solving-pde-with-uncertainty-surrogate-forward-model-keras

Implementing a surrogate forward modeling to solve partial differential equations with uncertain equations using NN - keras

deep-neural-networks neural-networks numerical-analysis numerical-methods partial-differential-equations

Last synced: 14 Dec 2024

https://github.com/yannick-kees/learning-geometric-phase-field-representations

Implementation of two phase field approaches for the surface reconstruction problem. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli | Master Thesis

deep-learning deep-neural-networks fourier-features modica-mortola perimeter point-cloud rendering-3d-graphics surface-reconstruction

Last synced: 23 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 554 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-speech-emotion-recognition 119 awesome-ai-brain-computer-interface 111 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 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 553 Classification COVID19 (Separate section due to its current significance) 474 Papers & Code 417 Introduction 359 DL4M summary 358 Overview 300 Tutorials 240 Other useful related lists and resources 201 Neural Networks (NN) and Deep Neural Networks (DNN) 199 Research 197 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Further Reading 100 Tools for Robotics 94 Paper: 93 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 5. Applications (General) 80