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Keras

Keras is an open source, cross platform, and user friendly neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, and PlaidML.

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/cerlymarco/keras-hypetune

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

deep-learning hyperparameter-optimization keras tensorflow tensorflow-keras tf-keras tuning-parameters

Last synced: 14 Oct 2024

https://github.com/rshrc/gait-recognition

Distance Recognition of a Human Being with Deep CNN's

cnn deep-learning gait image-processing imageio keras neural-network numpy pandas python3 tensorflow

Last synced: 28 Oct 2024

https://github.com/mratsim/mckinsey-smartcities-traffic-prediction

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

data-science deep-learning keras machine-learning neural-networks tensorflow time-series

Last synced: 22 Oct 2024

https://github.com/Narsil/alphagozero

Unofficial attempt to rebuild AlphaGo Zero

alphago-zero keras tensorflow

Last synced: 09 Aug 2024

https://github.com/narsil/alphagozero

Unofficial attempt to rebuild AlphaGo Zero

alphago-zero keras tensorflow

Last synced: 26 Oct 2024

https://github.com/sergree/dolbonet

🤪 Русскоязычный чат-бот для Discord на архитектуре Transformer

bot chatbot deep-learning discord keras python russian tensorflow tensorflow2 transformer

Last synced: 30 Oct 2024

https://github.com/rishit-dagli/nystromformer

An implementation of the Nyströmformer, using Nystrom method to approximate standard self attention

artificial-intelligence attention-mechanism deep-learning keras machine-learning nystrom nystromformer tensorflow transformer

Last synced: 11 Oct 2024

https://github.com/sayakpaul/mlp-mixer-cifar10

Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.

keras mlp non-conv non-self-attention tensorflow vision

Last synced: 22 Oct 2024

https://github.com/karolzak/conv3d-video-action-recognition

My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves results similar to those reported by authors

action-recognition c3d conv3d deep-learning keras keras-implementations machine-learning pipe sports-1m tensorflow ucf101 video-classification video-processing video-recognition

Last synced: 31 Oct 2024

https://github.com/musket-ml/segmentation_training_pipeline

Research Pipeline for image masking/segmentation in Keras

image-segmentation keras segmentation

Last synced: 14 Oct 2024

https://github.com/alireza-akhavan/tf2-tutorial

Tensorflow 2 Tutorials (use tensorflow and keras in a better way!)

callbacks datapipeline deep-learning keras tensorflow tensorflow-examples tensorflow-tutorials tf2

Last synced: 10 Oct 2024

https://github.com/yashkant/Padam-Tensorflow

Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In Training Deep Neural Networks" for the ICLR 2019 Reproducibility Challenge

adam-optimizer amsgrad keras optimization padam sgd-momentum tensorflow tensorflow-eager wide-residual-networks

Last synced: 05 Aug 2024

https://github.com/sayakpaul/knowledge-distillation-in-keras

Demonstrates knowledge distillation for image-based models in Keras.

computer-vision keras knowledge-distillation model-optimization tensorflow

Last synced: 22 Oct 2024

https://github.com/SiliconLabs/mltk

A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms

aiot cpp embedded embedded-c embedded-systems internet-of-things iot keras keras-tensorflow machine-learning machinelearning python python3 tensorflow tensorflow-lite tensorflow-lite-micro tensorflow2

Last synced: 27 Oct 2024

https://github.com/sayakpaul/learnable-image-resizing

TF 2 implementation Learning to Resize Images for Computer Vision Tasks (https://arxiv.org/abs/2103.09950v1).

image-recognition keras learnable-resizing tensorflow vision

Last synced: 22 Oct 2024

https://github.com/bshao001/tf-model-deploy-tutorial

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

freeze-model keras keras-models keras-tensorflow keras-tutorials tensorflow tensorflow-models tensorflow-tutorials

Last synced: 10 Oct 2024

https://github.com/AmazaspShumik/mtlearn

Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)

cross-stitch experts kdd2018 keras mixture-of-experts multi-task-learning multitask-learning papers-reproduced papers-with-code recsys2019 tensorflow2

Last synced: 02 Aug 2024

https://github.com/t-kalinowski/deep-learning-with-r-2nd-edition-code

Code from the book "Deep Learning with R, 2nd Edition"

deep-learning keras rstats tensorflow

Last synced: 28 Oct 2024

https://github.com/tcmxx/UnityTensorflowKeras

Unity In Editor Deep Learning Tools. Using KerasSharp, TensorflowSharp, Unity MLAgent. In-Editor training and no python needed.

cmaes deep-learning evolution-strategy keras no-python reinforcement-learning tensorflow unity

Last synced: 03 Aug 2024

https://github.com/bshao001/TF-Model-Deploy-Tutorial

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

freeze-model keras keras-models keras-tensorflow keras-tutorials tensorflow tensorflow-models tensorflow-tutorials

Last synced: 07 Aug 2024

https://github.com/siliconlabs/mltk

A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms

aiot cpp embedded embedded-c embedded-systems internet-of-things iot keras keras-tensorflow machine-learning machinelearning python python3 tensorflow tensorflow-lite tensorflow-lite-micro tensorflow2

Last synced: 09 Oct 2024

https://github.com/codingbeard/tfkg

Create, train, and save Tensorflow Keras models all in Golang

deep-learning go golang gpu-acceleration keras machine-learning tensorflow tf

Last synced: 10 Oct 2024

https://github.com/omaralbeik/mnist-coreml

Simple convolutional neural network to predict handwritten digits using Keras + CoreML for WWDC '18 scholarship [Accepted]

convolutional-neural-networks coreml jupyter-notebook keras playground swift uikit wwdc

Last synced: 14 Oct 2024

https://github.com/kaggler-tv/dku-kaggle-class

단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료

beginner-friendly datascience kaggle keras

Last synced: 05 Nov 2024

https://github.com/kaggledatasets/kaggledatasets

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

data-science datasets deep-learning kaggle keras machine-learning python pytorch scikit-learn tensorflow

Last synced: 13 Oct 2024

https://github.com/danielegrattarola/deep-q-atari

Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.

deep-learning deep-reinforcement-learning dqn keras openai-gym python reinforcement-learning

Last synced: 22 Oct 2024

https://github.com/prakritidev/DeepLearning

This repository will contain the example detailed codes of Tensorflow and Keras, This repository will be useful for Deep Learning staters who find difficult to understand the example codes

deep-learning deep-learning-algorithms deep-learning-staters deep-learning-tutorial keras keras-models keras-tutorials

Last synced: 07 Aug 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/philipperemy/keras-seq2seq-example

Toy Keras implementation of a seq2seq model with examples.

keras keras-neural-networks keras-tutorials seq2seq tensorflow

Last synced: 22 Oct 2024

https://github.com/mohabmes/stocknn

Stock Market Prediction Using Neural Network Models (Backpropagation, RNN, RBF) Keras with Tensorflow backend

keras neural-network stock-price-prediction

Last synced: 28 Oct 2024

https://github.com/deepsense-ai/Keras-PyTorch-AvP-transfer-learning

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

alien keras keras-classification-models keras-models keras-neural-networks keras-tutorials predator pytorch pytorch-cnn pytorch-implementation pytorch-tutorial pytorch-tutorials

Last synced: 07 Aug 2024

https://github.com/nanxstats/deep-learning-recipes

🍱 R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)

deep-learning keras matrix-factorization r recommender-system tensorflow triplet-loss

Last synced: 05 Aug 2024

https://github.com/voletiv/syncnet-in-keras

Keras version of Syncnet, by Joon Son Chung and Andrew Zisserman.

deep-learning keras lip-sync

Last synced: 28 Oct 2024

https://github.com/titu1994/keras-global-context-networks

Keras implementation of Global Context Attention blocks

global-context keras tensorflow

Last synced: 28 Oct 2024

https://github.com/yashk2810/dcgan-keras

Deep Convolutional Generative Adverserial Networks

dcgan keras tensorflow

Last synced: 22 Oct 2024

https://github.com/srihari-humbarwadi/YOLOv1-TensorFlow2.0

A tensorflow2.0 implementation of the YOLOv1 paper https://arxiv.org/pdf/1506.02640

keras keras-tensorflow object-detection tensorflow yolo yolo-tiny

Last synced: 02 Aug 2024

https://github.com/keiserlab/keras-neural-graph-fingerprint

Keras implementation of Neural Graph Fingerprints as proposed by Duvenaud et al., 2015

atom differentiable-models fingerprint gpu graph graph-algorithms keras molecule morgan-fingerprints neural-networks tensor

Last synced: 09 Oct 2024

https://github.com/sayakpaul/generalized-odin-tf

TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data (https://arxiv.org/abs/2002.11297).

keras ood-detection robustness tensorflow2 vision

Last synced: 22 Oct 2024

https://github.com/sayakpaul/paws-tf

Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.

keras multi-crop representation-learning semi-supervised-learning soft-similarity tensorflow vision

Last synced: 22 Oct 2024

https://github.com/kuixu/keras_multi_gpu

Multi-GPU training for Keras

data-parallelism keras multi-gpu

Last synced: 30 Oct 2024

https://github.com/testingautomated-usi/uncertainty-wizard

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

keras keras-tensorflow testing uncertainty uncertainty-neural-networks uncertainty-quantification

Last synced: 01 Nov 2024

https://github.com/msiemens/hyphenn-de

A neural network hyphenator for the German language

german-language hyphenation keras machine-learning neural-network rust tensorflow

Last synced: 28 Oct 2024

https://github.com/ekzhang/char-rnn-keras

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

char-rnn keras lstm recurrent-neural-networks tensorflow

Last synced: 28 Oct 2024

https://github.com/yashk2810/mnist-keras

Using various CNN techniques on the MNIST dataset

convolutional-neural-networks keras keras-visualization mnist

Last synced: 22 Oct 2024

https://github.com/popcornell/keras-triplet-center-loss

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

center-loss keras machine-learning mnist tensorflow triplet-loss

Last synced: 14 Oct 2024

https://github.com/rishit-dagli/conformer

An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras

artificial-intelligence attention-mechanism conformer convolutional-neural-networks deep-learning keras machine-learning speech-recognition tensorflow transformers

Last synced: 22 Oct 2024

https://github.com/dedinc/vk_captchasolver

VKontakte captcha solver with pseudoCRNN model running as a python module

captcha captcha-recognition captcha-solving crnn keras onnx python vkontakte

Last synced: 27 Sep 2024

https://github.com/sayakpaul/deit-tf

Includes PyTorch -> Keras model porting code for DeiT models with fine-tuning and inference notebooks.

computer-vision distillation image-recognition imagenet-1k inductive-biases keras tensorflow vision-transformers

Last synced: 22 Oct 2024

https://github.com/whyboris/ml-with-python-and-keras

Based off Deep Learning with Python by François Chollet

deep-learning keras machine-learning neural-networks python python3

Last synced: 22 Oct 2024

https://github.com/kokensha/book-ml

書籍「今すぐ試したい!機械学習・深層学習(ディープラーニング)画像認識プログラミングレシピ」のソースコードを配布するレポジトリです。

ai book chainer deep-learning google-colab google-colaboratory jupyter-notebook keras keras-tensorflow machine-learning movidius opencv opencv-python python python3 pytorch raspberry-pi raspberry-pi-3 raspberry-pi-camera tensorflow

Last synced: 11 Oct 2024

https://github.com/csvance/blur-pool-keras

Keras implementation of BlurPool layers described in "Making Convolutional Networks Shift-Invariant Again" (Zhang)

keras layer pooling tensorflow

Last synced: 05 Nov 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/sshane/Konverter

Convert simple Keras models to pure Python 🐍+ NumPy

keras keras-tensorflow model-converter neural-networks python tensorflow

Last synced: 05 Aug 2024

https://github.com/sarus-tech/tf2-published-models

Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

ai generative-model keras tensorflow tensorflow2

Last synced: 27 Oct 2024

https://github.com/soumik12345/point-cloud-segmentation

TF2 implementation of PointNet for segmenting point clouds

deep-learning keras point-cloud segmentation tensorflow2 tpu

Last synced: 02 Nov 2024

https://github.com/shekit/mirror-selfie

Removing the phone from the notorious mirror selfie using deep learning

deep-learning jupyter-notebook keras keras-tensorflow tensorflow

Last synced: 04 Aug 2024

https://github.com/soumyajit4419/face_and_emotion_detection

Performing image classification for detection of various human emotions using CNN Architecture.

emotion-detection facial-recognition keras opencv tensorflow

Last synced: 22 Oct 2024

https://github.com/adamspannbauer/ssbm_fox_detector

Keras object detector to detect Fox in Super Smash Bros Melee for the Nintendo Gamecube

cnn cv frcnn keras object-detection python

Last synced: 28 Oct 2024

https://github.com/huji-deep/flowket

A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.

autoregressive keras pixelcnn python3 tensorflow variational-monte-carlo

Last synced: 14 Oct 2024

https://github.com/tirthajyoti/tensorflow_basics

Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.

classification colab-notebook colaboratory convolutional-neural-networks deep-learning google-cloud-platform keras keras-tensorflow machine-learning mnist neural-network recurrent-neural-networks regression tensorflow time-series

Last synced: 22 Oct 2024

https://github.com/sayakpaul/spatial-transformer-networks-with-keras

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

affine-transformation cnn keras mnist spatial-transformer-network tensorflow vision

Last synced: 22 Oct 2024

https://github.com/RentadroneCL/Photovoltaic_Fault_Detector

Model Photovoltaic Fault Detector based in model detector YOLOv.3, this repository contains four detector model with their weights and the explanation of how to use these models.

deep-learning detection-boxes detector-model fault-detection keras model-detection object-detection photovoltaic-panels solar-energy tensorflow yolo3

Last synced: 03 Aug 2024

https://github.com/sayakpaul/Spatial-Transformer-Networks-with-Keras

This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.

affine-transformation cnn keras mnist spatial-transformer-network tensorflow vision

Last synced: 30 Oct 2024

https://github.com/bloodaxe/segmentation-networks-benchmark

Evaluation framework for testing segmentation networks in Keras

benchmark keras segmentation unet

Last synced: 15 Oct 2024

https://github.com/james77777778/keras-image-models

A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.

deep-learning imagenet jax keras keras3 model-zoo pretrained-models tensorflow timm torch

Last synced: 26 Oct 2024

https://github.com/sayakpaul/keras-xla-benchmarks

Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.

benchmarks cnns keras keras-cv tensorflow tensorflow-hub transformers xla

Last synced: 22 Oct 2024

https://github.com/sayakpaul/dual-deployments-on-vertex-ai

Project demonstrating dual model deployment scenarios using Vertex AI (GCP).

automl gcp keras kubeflow mlops tensorflow tfx vertex-ai

Last synced: 22 Oct 2024

https://github.com/zmyzheng/neural-networks-and-deep-learning

Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai

adam autonomous-driving batchnorm cnn dropout face-recognition hyperparameter-tuning keras lstm music-generation natural-language-processing neural-style-transfer regularization residual-networks rnn speech-recognition tensorflow translation xavier-he-initialization yolo

Last synced: 23 Oct 2024