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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.
- GitHub: https://github.com/topics/deep-neural-networks
- Wikipedia: https://en.wikipedia.org/wiki/Deep_neural_networks
- Aliases: deep-neural-network,
- Last updated: 2024-11-06 00:07:18 UTC
- JSON Representation
https://github.com/jeffreyksmithjr/onnxs
ONNX interop for Elixir
deep-learning deep-neural-networks elixir neural-network onnx
Last synced: 29 Oct 2024
https://github.com/kmario23/pytorch-padawan
Exercises, Descriptions, and Visualizations to build intuitions and confidence in working with PyTorch for accelerated Scientific Computing
data-analysis data-science data-visualization deep-learning deep-neural-networks distributed-computing gpu-computing jupyter machine-learning ndarray python python3 pytorch scientific-computing scientific-visualization tensor tensor-processing vectorization vectorized-computation visual-computing
Last synced: 06 Nov 2024
https://github.com/creativeguru97/machinelearning
Learn everything around ML
artificial-neural-networks deep-learning deep-neural-networks deeplearning hand handpose handtracking machinelearning neural-network oreilly oreilly-books pose-estimation posenet posetrack tensorflow tensorflow-experiments tensorflow-models tensorflowjs
Last synced: 12 Oct 2024
https://github.com/antonior92/aliasing-in-cnns
How convolutional neural networks deal with aliasing
aliasing convolutional-neural-networks deep-learning deep-neural-networks signal-processing
Last synced: 31 Oct 2024
https://github.com/victorowinoke/cnn-image-classification-using-fashion-mnist-dataset
There's been much speculation in recent years about neural networks technologies and other deep learning algorithms, primarily because of the popularity of several implementations in the sector utilizing these techniques. Consequently, this hype has yielded several innovative ideas to build open-source libraries and methods to enable the average income tech-savvies to achieve their objective. This research paper aims to examine and illustrate how to use deep learning technologies and algorithms to precisely classify a dataset of fashion images into their respective clothing categories. First, the paper shows the general knowledge of convolutional neural networks (CNN) and the techniques of image classification. Later on, it also discusses the methodology of building a neural network and the simulation process. The results of the neural network simulation are compressively evaluated and discussed.
cnn-classification cnn-keras code deep-neural-networks fashion-classifier fashion-mnist-dataset image-classification python3 report tensorflow tensorflow-models
Last synced: 03 Nov 2024
https://github.com/bobazooba/shurale
Conversation AI model for open domain dialogs
bitsandbytes cerebras chatgpt deep-learning deep-neural-networks gpt gpt-4 gptq large-language-models llama llama2 llm mistral natural-language-processing nlp openai pytorch torch transformers vicuna
Last synced: 27 Oct 2024
https://github.com/martinuzzifrancesco/neuralbasisexpansions.jl
Julia (Flux) implementation of NBeats
deep-learning deep-neural-networks julia nbeats time-series timeseries timeseries-forecasting
Last synced: 20 Oct 2024
https://github.com/avidlearnerinprogress/advanced-machine-learning-labs
Coursework solutions to AML Labs
cnn deep-learning deep-neural-networks tensorflow
Last synced: 11 Oct 2024
https://github.com/salamanderxing/mate
🧉 the ultimate deep learning project management and sharing tool
deep-learning deep-neural-networks deeplearning jax machine-learning project-template pytorch pytorch-lightning reproducibility research tensorflow
Last synced: 20 Oct 2024
https://github.com/rajspeaks/deep-learning-coursera-specialization-programming-assignments
Presenting all the solved programming assignments of Deep Learning Specialization by Deeplearning.ai (Andrew Ng)
convolutional-neural-networks coursera coursera-assignment coursera-specialization deep-learning deep-neural-networks deeplearning-ai jupyter-notebook neural-network python3 rajdeep-das rajspeaks reccurent-neural-network
Last synced: 30 Oct 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/deepmancer/resnet-cifar-classification
A step-by-step implementation of a ResNet-18 model for image classification on the CIFAR-10 dataset
cifar cifar10 cifar10-classification deep-neural-networks from-scratch image-classification pytorch pytorch-implementation resnet resnet-18 step-by-step-guide
Last synced: 02 Nov 2024
https://github.com/burakahmet/deeplearning.ai-tensorflow-developer-professional-certificate
Quizzes and assignment submissions for DeepLearning.AI TensorFlow Developer Professional Certificate program
artificial-neural-networks cnn computer-vision convolutional-neural-networks coursera deep-learning deep-neural-networks deeplearning image-classification image-processing keras learning-notes machine-learning natural-language-processing neural-network neural-networks recurrent-neural-networks rnn tensorflow tensorflow-tutorials
Last synced: 10 Oct 2024
https://github.com/justsecret123/human-pose-estimation
A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
computer-vision deep-learning deep-neural-networks human-pose-estimation imageio ipython jupyter-notebook machine-learning matplotlib movenet movenet-lightning numpy opencv pose-estimation python tensorflow tensorflow-hub tutorial tutorials
Last synced: 12 Oct 2024
https://github.com/kyegomez/gated-slot-attention
An implementation of the paper: "Gated Slot Attention for Efficient Linear-Time Sequence Modeling" in PyTorch
ai attentions deep-neural-networks deeplearning machinelearnin ml pytorch tensorflow torch torchvision
Last synced: 13 Oct 2024
https://github.com/fork123aniket/text-generation
Implementation of Multi-Layer LSTMs for word-level language modelling in Tensorflow
deep-learning deep-neural-networks lstm lstm-model natural-language-processing nlp tensorflow-tutorials tensorflow2
Last synced: 03 Nov 2024
https://github.com/wesleylp/dissertation
Dissertation for the degree of M. Sc. in Electrical Engineering.
aedes aedes-aegypti computer-vision deep-learning deep-neural-networks object-detection
Last synced: 29 Oct 2024
https://github.com/gerardocipriano/Cerberus-Dog-Breed-Classification-and-Body-Localization-PyTorch
Cerberus is a PyTorch-based project for classifying dog breeds and localizing specific body parts within images. Our model is capable of recognizing and classifying 3 dog breeds (Toy Poodle, Beagle, Siberian Husky) and localizing 3 specific body parts (eyes, nose, tail) within images.
deep-learning deep-neural-networks python pytorch yolo
Last synced: 01 Aug 2024
https://github.com/naivehobo/numj
Multithreaded matrix handling library for Java
deep-learning deep-neural-networks deeplearning java machine-learning matrix matrix-calculations matrix-functions matrix-library matrix-multiplication multithreading neural-network neural-networks
Last synced: 29 Oct 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: 12 Oct 2024
https://github.com/philipperemy/neural-probability-dist-sampler
Training a network to sample from any probability distributions such as exponential distribution.
deep-learning deep-neural-networks probability-distribution sampler statistics tensorflow
Last synced: 29 Oct 2024
https://github.com/mohammedyunus009/dnn_acoustic_rec
A acoustic sound or environmental sound recogniser, uses deep neural networks to train on models
deep-learning deep-neural-networks extract-features keras sound sound-processing sound-synthesis soundcloud-api tensorflow
Last synced: 02 Nov 2024
https://github.com/czgdp1807/ptrustintervalsood
Probabilistic Trust Intervals For Detecting Out of Distribution Images
aritificial-intelligence deep-learning deep-neural-networks image-classification out-of-distribution-detection
Last synced: 16 Oct 2024
https://github.com/mouralisandra/deeplearninglabs
A collection of Deep Learning labs for the INSAT Data Science course.
cnn deep-learning deep-neural-networks dnn embeddings fcnn glove nlp perceptron
Last synced: 27 Oct 2024
https://github.com/jacobkahn/cis-700-project
deep-learning deep-neural-networks machine-learning structured-learning
Last synced: 14 Oct 2024
https://github.com/victorbadenas/SimpleOnnxInference
A simple c++ onnx application for inferencing images
convolutional-neural-networks deep-learning deep-neural-networks onnxruntime
Last synced: 27 Oct 2024
https://github.com/ksasi/machine-learning-capstone-project
Machine Learning Capstone Project - Udacity MLND(State Farm Distracted Driver Detection)
cnn-classification computer-vision deep-learning deep-neural-networks keras keras-tensorflow machine-learning-capstone numpy python3 sklearn udacity-mlnd
Last synced: 15 Oct 2024
https://github.com/blackcipher101/deeplearning
Deep learning notebooks for me by me
cnn-keras deep-neural-networks deeplearning jupyter-notebooks transfer-learning
Last synced: 27 Oct 2024
https://github.com/saransh-cpp/scenenet
Scenery detection using transfer learning. (Frontend)
dart deep-learning deep-neural-networks flutter transfer-learning
Last synced: 22 Oct 2024
https://github.com/atapas/ml-greenroots
ml-greenroots is a Pet project to run ML in the Browser using various libraries and frameworks available. How about a ⭐️?
deep-neural-networks gatsby gatsbyjs machine-learning ml5js netlify react reactjs
Last synced: 14 Oct 2024
https://github.com/miladsade96/diagtomodel
Implementations of Artificial Neural Networks Based on their Diagrams
artificial-intelligence cnn computer-vision convolutional-neural-networks deep-learning deep-neural-networks hacktoberfest2021 keras machine-learning models neural-network python tensorflow
Last synced: 11 Oct 2024
https://github.com/mkashirin/scratches
Scratches is a project, which provides a comprehensive guide to creating deep learning models from scratch using Python and NumPy.
artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks from-scratch machine-learning machine-learning-algorithms numpy python
Last synced: 06 Nov 2024
https://github.com/yoyololicon/dl_hw1
back propogation
backpropagation classification deep-learning deep-neural-networks regression visualization
Last synced: 06 Oct 2024
https://github.com/luca-parisi/hyper_sinh
hyper-sinh: An Accurate and Reliable Activation Function from Shallow to Deep Learning in TensorFlow, Keras, and PyTorch
activation-functions cnn cnn-classification cnn-keras cnn-model deep-learning deep-neural-networks keras keras-neural-networks keras-tensorflow machine-learning machinelearning-python pytorch sinh tensorflow tensorflow-models torch
Last synced: 10 Oct 2024
https://github.com/ahmedshahriar/sentiment-analysis
Sentiment Analysis Projects
adam-optimizer data-science-projects deep-learning deep-neural-networks dense densely-connected-networks jupyter-notebook long-short-term-memory lstm-model lstm-sentiment-analysis machine-learning matplotlib numpy pandas scikit-learn sentiment-analysis tensorflow tensorflow-hub tensorflow-models tensorflow-text
Last synced: 03 Nov 2024
https://github.com/hritik5102/chatbot-with-deep-learning
Deep learning chatbot
chatbot deep-neural-networks intents nltk python softmax tensorflow tflearn
Last synced: 24 Oct 2024
https://github.com/jmaces/torch-adf
PyTorch implementation of Assumed Density Filtering (ADF) based probabilistic neural networks
deep-learning deep-neural-networks machine-learning probabilistic-models pytorch torch
Last synced: 20 Oct 2024
https://github.com/yoyololicon/building-nn-with-numpy
numpy lenet implementation.
convolutional-neural-networks deep-learning deep-neural-networks lenet-mnist mnist-classification numpy-tutorial scipy
Last synced: 06 Oct 2024
https://github.com/hhhhhhao/papers
Reproduction of the interesting deep learning papers
convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network machine-learning
Last synced: 29 Oct 2024
https://github.com/yoyolicoris/building-nn-with-numpy
numpy lenet implementation.
convolutional-neural-networks deep-learning deep-neural-networks lenet-mnist mnist-classification numpy-tutorial scipy
Last synced: 28 Oct 2024
https://github.com/yoyolicoris/dl_hw1
back propogation
backpropagation classification deep-learning deep-neural-networks regression visualization
Last synced: 28 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: 05 Nov 2024
https://github.com/vtuanpham/srgan_reimplementation_modified
Re-Implementation of SRGAN with symmetric padding for a better merged final image (Anysized input with 4x upscaled)
deep-learning deep-neural-networks fft gan generative-adversarial-network image image-processing kivy kivy-application kivy-framework machine-learning srgan srgan-keras super-resolution upscaling
Last synced: 25 Sep 2024
https://github.com/a-mhamdi/journey-into-ml
Showcase some machine learning algorithms.
deep-neural-networks julialang keras machine-learning-algorithms python rlang tensorflow
Last synced: 12 Oct 2024
https://github.com/dilumdesilva/daugmentor
DAugmentor: Automating Generative Adversarial Network Tuning for Data Augmentation
data-generation deep-learning deep-neural-networks gan
Last synced: 14 Oct 2024
https://github.com/serhatderya/deep_learning
This repository contains my notes from Deep Learning With Tensorflow 2.0 from codebasics YouTube channel
ai artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks deeplearning jupyter jupyter-notebook keras keras-neural-networks keras-tensorflow keras-tutorials neural-network neural-networks pyhon3 python tensorflow tensorflow-models tensorflow-tutorials tensorflow2
Last synced: 12 Oct 2024
https://github.com/frankchen121212/RHSNet
Tensorflow and Keras implementation of RHSNet for recombination hotspot identification and quantification
computational-biology deep-neural-networks motif-discovery
Last synced: 08 Aug 2024
https://github.com/shashi456/deep-learning-research
Summaries of papers on Deep Learning, Natural Language Processing, Computer vision
artificial-intelligence computer-vision deep-learning deep-neural-networks hacktoberfest language-modeling machine-learning natural-language-processing neural-networks nlp research text-summarization
Last synced: 23 Oct 2024
https://github.com/masasron/deepnet
DeepNet is simple node based cli tool for creating machine learning classifiers you can use on the web.
classifier classifier-training deep-learning deep-neural-networks machine-learning nodejs
Last synced: 13 Oct 2024
https://github.com/tallamjr/dnn
Implementations of Deep Neural Networks in Tensorflow 2.x
deep-learning deep-neural-networks keras tensorflow tensorflow-examples tensorflow2
Last synced: 10 Oct 2024
https://github.com/jonperk318/machine-learning-analysis-of-hyperspectral-data
Using Non-negative Matrix Factorization (NMF) and Variational Autoencoder (VAE) machine learning architectures to analyze spatial and spectral features of hyperspectral cathodoluminescence (CL) spectroscopy images taken from hybrid inorganic-organic perovskite material
data-analysis data-science deep-neural-networks explained-variance hybrid-perovskite hyperspectral-image-classification machine-learning matplotlib nmf non-negative-matrix-factorization python pytorch scikit-learn semi-supervised-learning signal-processing solar-energy spectroscopy unsupervised-learning vae variational-autoencoder
Last synced: 06 Nov 2024
https://github.com/arasgungore/models
Models and examples built with TensorFlow.
convolutional-neural-network convolutional-neural-networks deep-learning deep-neural-networks deeplearning machine-learning machinelearning model models research sota sota-model state-of-the-art state-of-the-art-models tensorboard tensorflow tensorflow-api tensorflow-examples tensorflow-models tensorflow2
Last synced: 26 Sep 2024
https://github.com/abidshafee/datascienceyoutubetutorials
This repository holding some python notebooks which I made to cast some of my practical data science projects on YouTube
cs cs-school data-science deep-learning deep-neural-networks machine-learning shafekul-abid video-tutorials youtube youtube-channel
Last synced: 11 Oct 2024
https://github.com/EliasVansteenkiste/plnt
A Python framework for classification of satellite imagery of the Amazon, built with Pytorch and Lasagne/Theano. The goal is to find deforestation activity.
classification deep-neural-networks kaggle lasagne python pytorch satellite-imagery
Last synced: 01 Aug 2024
https://github.com/camara94/convolutional-neural-networks
Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.
cnn-keras deep-neural-networks keras tensorflow
Last synced: 05 Nov 2024
https://github.com/mishig25/adversarial-reprogramming-keras
Keras implementation of Adversarial Reprogramming of Neural Networks
deep-learning deep-neural-networks
Last synced: 27 Oct 2024
https://github.com/louis030195/xmoto-gym
OpenAi's gym environment for Xmoto game - reinforcement learning research
artificial-intelligence deep-learning deep-neural-networks deeplearning machine-learning machinelearning python reinforcement-learning
Last synced: 06 Nov 2024
https://github.com/justsecret123/twitter-sentiment-analysis
A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.
classification data-analysis data-science deep-learning deep-neural-networks docker glove-embeddings kaggle lstm lstm-neural-networks machine-learning natural-language-processing nlp python rnn scikit-learn sentiment-analysis sentiment-classification tensorflow word-embeddings
Last synced: 05 Nov 2024
https://github.com/marcogdepinto/dogs-vs-cats
Deep learning to classify if a picture contains a Dog or a Cat using Python, OpenCV, Keras.
deep-learning deep-learning-tutorial deep-neural-networks image-classification keras numpy opencv python python3
Last synced: 11 Oct 2024
https://github.com/sevmardi/generative-adversarial-networks
Personal Experiments in different sorts of GANs
deep-learning deep-neural-networks gans generative-adversarial-network ml python3
Last synced: 06 Nov 2024
https://github.com/MartinKondor/positron
Blazingly fast deep learning library for Python.
ai algorithms artificial-intelligence deep-learning deep-neural-networks machinelearning math mathematics neural-network neural-networks
Last synced: 02 Nov 2024
https://github.com/hackintoshrao/solving-physics-in-keras
Solving a physics problem using keras
deep-neural-networks keras keras-neural-networks neural-networks physics
Last synced: 26 Oct 2024
https://github.com/rakibhhridoy/ctscanpredictioncovid19-tensorflow
Classifying covid positive and negative cases in ct-scan images. Though the data is not large enough, it can be processed and make prediction from the model. Images are quite similar thus the task became much complicated.
computer-vision covid-19 ctscan deep-learning deep-neural-networks image-classification image-processing keras machine-learning medical-image-analysis neural-network prognosis python
Last synced: 06 Nov 2024
https://github.com/eren23/nn-architecture-examples
A small collection of basic neural networks for different tasks using pytorch.
deep-neural-networks neural-network neural-network-architectures neural-network-example neural-network-tutorials neural-networks neural-networks-from-scratch pytorch pytorch-implementation
Last synced: 15 Oct 2024
https://github.com/gitstar-oc/machine-learning
This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!
deep-learning deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn supervised-learning tensorflow unsupervised-learning
Last synced: 13 Oct 2024
https://github.com/kumar-shridhar/mastersinmachinelearningonline
Online Content equivalent to Machine Learning Masters Degree at an University
ai deep-learning deep-learning-tutorial deep-neural-networks deeplearning graduate-course links machine-learning machine-learning-algorithms machinelearning masters-course masters-project masters-thesis mastersdegree neural-networks online
Last synced: 14 Oct 2024
https://github.com/cyrildever/neural-networks-and-deep-learning-in-golang
Code adaptation of "Neural Networks and Deep Learning" book in Go
deep-learning deep-neural-networks golang neural-networks
Last synced: 13 Oct 2024
https://github.com/hoanle396/chatbot-api-ai
ai api chat chat-api chatbot cnn-model deep deep-learning deep-neural-networks
Last synced: 27 Oct 2024
https://github.com/majsylw/chihuahua-vs-muffin
Excercises in Deep learning for polish students conducted in winter 2020/21 (polish). With cooperation with Wroclaw University of Technology and OPI. This repository based on materials from beginner's workshop for SJSU ML Club and facebook DETR.
classification deep-neural-networks linear-nn python3 pytorch tutorial-code
Last synced: 15 Oct 2024
https://github.com/wilhelmagren/pychess
Terminal User Interface for playing chess. Either against your friend or the Deep CNN limited look ahead agent.
ai autoencoder chess classification convolutional-neural-networks deep-learning deep-neural-networks machine-learning pygame python-chess pytorch regression
Last synced: 28 Oct 2024
https://github.com/susmitha-26/emotion-based-music-player
Application for recommending music based on your facial expressions using FER 2013 dataset and Spotify api
convolutional-neural-networks css deep-neural-networks haarcascade-frontalface html machine-learning-algorithms mediapipe-face-detection neumorphism opencv python3 spotipy-api visualtesting workflows-and-systems
Last synced: 29 Oct 2024
https://github.com/easonlai/tensorflow_covid-19_classification_by_chest_x-ray
Tensorflow COVID-19 Classification by Chest X-Ray
cnn cnn-classification cnn-model convolutional-neural-networks deep-learning deep-neural-networks deeplearning densenet healthcare keras keras-tensorflow machine-learning machinelearning medical medical-image-processing medical-imaging tensorflow tensorflow-examples tensorflow-tutorials tensorflow2
Last synced: 03 Nov 2024
https://github.com/suhani1209/mobile-gallery-image-classifier
Distinguishes the mobile gallery's images into various sets such as whatsapp documents, nature, cars, screenshots, the machine learns itself and predicts the results with an accuracy of 97.6%
cnn deep-learning deep-neural-networks image-classification object-classification python
Last synced: 06 Nov 2024
https://github.com/avik-pal/nnpack.jl
Julia wrapper for NNPACK
convolutional-neural-networks deep-learning deep-neural-networks machine-learning multicore-cpu nnpack wrapper
Last synced: 12 Oct 2024
https://github.com/jstzwj/traph
An open-source machine learning platform
deep-learning deep-neural-networks machine-learning neural-network
Last synced: 26 Oct 2024
https://github.com/louis030195/xmoto_learning
reinforcement learning algorithms for xmoto_gym environment
artificial-intelligence deep-learning deep-neural-networks deeplearning machine-learning machinelearning python reinforcement-learning
Last synced: 06 Nov 2024
https://github.com/camara94/reseau-neurone-tensorflow-2
TensorFlow est une bibliothèque open source de Machine Learning, créée par Google, permettant de développer et d’exécuter des applications de Machine Learning et de Deep Learning
algorithms-and-data-structures deep-learning deep-neural-networks machine-learning python3 tensorflow2
Last synced: 05 Nov 2024
https://github.com/tanishqjasoria/deeplearning
Implementation of some Neural Network architecture using Numpy, TensorFlow and Keras.
convolutional-neural-networks deep-learning deep-neural-networks residual-learning tensorflow transfer-learning
Last synced: 05 Nov 2024
https://github.com/justsecret123/one-piece-image-classifier
A quick image classifier trained with manually selected One Piece images.
batch-normalization classification classification-model computer-vision convolutional-neural-networks data-augmentation deep-learning deep-neural-networks docker early-stopping image-classification image-classifier jupyterlab keras machine-learning notebook python tensorflow tensorflow-serving transfer-learning
Last synced: 05 Nov 2024
https://github.com/justsecret123/one-piece-characters-detector
An object detector trained with a Kaggle GPU, using Tensorflow and a fine-tuned ssd resnet50.
artificial-intelligence computer-vision convolutional-neural-networks deep-learning deep-neural-networks docker fine-tuning jupyter kaggle kaggle-dataset matplotlib numpy object-detection python single-shot-detector tensorflow tensorflow-object-detection tensorflow-serving transfer-learning
Last synced: 05 Nov 2024
https://github.com/idwessough/autonomous-driving
Autonomous Driving behaviour for a 4 wheel drive robot vehicle using AI and ROS to drive autonomously in a scaled city
artificial-intelligence computer-vision deep-neural-networks object-recognition robot-framework robotics ros2
Last synced: 13 Oct 2024
https://github.com/lovelybuggies/python_maddpg_sc2le
My internship project in 𝖢𝖠𝖲𝖨𝖠. 🤗
casia deep-neural-networks deep-q-learning game-ai maddpg reinforcement-learning sc2le starcraft-ii
Last synced: 28 Oct 2024
https://github.com/coditheck/tensorflow
TensorFlow is an open source Machine Learning library, created by Google, for developing and running Machine Learning and Deep Learning applications.
deep-learning deep-neural-networks keras machine-learning neural-network python tensorflow tensorflow-tutorials
Last synced: 03 Nov 2024
https://github.com/nikhilcodes/draw-anywhere
Not just any simple Digit Recognition. MNIST Digit Recognition got lot more Interesting!
computer-vision cv2 deep-learning deep-neural-networks drawing-app illusion keras-neural-networks opencv opencv-python
Last synced: 30 Oct 2024
https://github.com/ltfschoen/aind2-cnn
classification convolutional-neural-networks deep-neural-networks global-average-pooling image-augmentation image-recognition keras loss-functions mlp model-architecture multi-layer-architecture multi-layer-perceptron one-hot-encode optimiser tensorflow testing training validation
Last synced: 17 Oct 2024
https://github.com/marcogdepinto/panoramamodelserving
Using Java and deeplearning4j to serve a Keras model.
deep-learning deep-neural-networks deeplearning deeplearning4j java keras python
Last synced: 11 Oct 2024
https://github.com/kawai-senpai/heartly
Heartly is a Python application developed with Kivy, designed to evaluate the risk of heart disease based on user inputs. The application utilizes a neural network model to predict the likelihood of heart disease, providing a percentage risk based on a series of questions related to the user's health and lifestyle.
deep-learning deep-neural-networks heart-disease kivy kivy-framework kivymd pytorch
Last synced: 31 Oct 2024
https://github.com/kaleidophon/calm-capybara
Comparing different Neural NLP models for Emoji Prediction.
attention-mechanism convolutional-neural-networks deep-learning deep-neural-networks emojis lstm natural-language-processing nlp
Last synced: 28 Oct 2024
https://github.com/aezata/fashion_mnist-keras-model
A simple Fashion_mnist Keras model that I coded.
deep-learning deep-neural-networks fashion-mnist keras keras-models keras-neural-networks
Last synced: 03 Nov 2024
https://github.com/tiskw/gaussian-process-bootstrapping-layer
PyTorch implementation of the Gaussian process bootstrapping layer
artificial-intelligence deep-neural-networks gaussian-processes machine-learning python pytorch
Last synced: 05 Nov 2024
https://github.com/keyurparalkar/cifar-10
ConvNet implementation for CIFAR-10 dataset using pytorch
convolutional-neural-networks deep-learning deep-neural-networks lenet-architecture pytorch
Last synced: 11 Oct 2024
https://github.com/angelmtenor/aind-deep-learning
Deep Learning and Applications
convolutional-neural-networks deep-neural-networks keras natural-language-processing recurrent-neural-networks
Last synced: 11 Oct 2024
https://github.com/sayannath/linear-app
An ANN model is built and trained and exported to tflite format. Then it is integrated into Android App.
android ann deep-learning deep-neural-networks java keras machine-learning tensorflow tflite
Last synced: 24 Oct 2024
https://github.com/samanyougarg/dl-mnist
Deep Learning on the MNIST Handwritten Digits Dataset.
deep-learning deep-neural-networks keras mnist python tensorflow
Last synced: 26 Oct 2024
https://github.com/rathore25/denoising-by-resnet
Use a ResNet to denoise the noisy images
cifar-10 deep-neural-networks denoising-network residual-networks resnet
Last synced: 02 Nov 2024
https://github.com/lukasturcani/dnn
Implementations of deep network architectures in PyTorch.
cnn cnn-architecture cnn-classification dcgan deep-learning deep-neural-networks deeplearning gan gans image-inpainting neural-network neural-networks progressively-growing-gan
Last synced: 11 Oct 2024
https://github.com/adicherlavenkatasai/coursera
Coursera Speccialization Courses
deep-learning deep-neural-networks hyperparameter-optimization machine-learning machine-learning-algorithms neural-networks python sframe-dataframe train-test-split turicreate
Last synced: 14 Oct 2024
https://github.com/vanditg/image_analytics_task_ai_australia
This repository contains solutions or files of my attempt for the AI Austraial task of Image Analytics. The submission language is Python.
blurred-background bounding-boxes computer-vision deep-learning deep-neural-networks face-detection face-quality facial-expression-recognition haarcascade-frontalface
Last synced: 05 Nov 2024
https://github.com/agamiko/neural-based-data-augmentation
Improving generalization via style transfer-based data augmentation: Novel regularization method
cnn data-augmentation database deep-learning deep-neural-networks image-classification image-synthesis paper skin-lesions style-transfer
Last synced: 15 Oct 2024
https://github.com/ondrejbiza/tfset
Interactive Tensorflow training.
deep-learning deep-neural-networks machine-learning tensorflow tensorflow-experiments
Last synced: 03 Nov 2024