141 Open source projects that are alternatives of or similar to One-Shot-Learning

15+ Machine/Deep Learning Projects in Ipython Notebooks

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Source for post "An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model"

Deep learning models for guitar amp/pedal emulation using LSTM with Keras.

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

BTK Akademi -1 Milyon İstihdam Projesi için Merve Ayyüce Kızrak tarafından Hazırlanmıştır.

Detect Covid-19 with Chest X-Ray Data

Translating English sentences to Marathi using Neural Machine Translation

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning

Distributed Keras Engine, Make Keras faster with only one line of code.

Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

An implementation of Faster R-CNN applied to vehicle detection.

Extending Keras to support tfrecord dataset

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Code for DCASE 2020 task 1a and task 1b.

Keras MNIST for Handwriting Detection

Recognize Digits using Deep Neural Networks in Google Chrome live!

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

Using ML to create a ForEx trader to invest my personal finances to get rid of student debt

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017

ML Prediction of Bible Topics and Passages (Python / React)

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Keras implementation of "A Neural Algorithm of Artistic Style"

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

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Potato Disease Classification - Training, Rest APIs, and Frontend to test.

Hierarchical Attention Networks for Document Classification in Keras

Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

Self driving car in GTAV with Deep Learning

Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf

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.

Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x

Implementation of a Neural Network that can detect whether a video is in-game or not

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Deep Learning using Rectified Linear Units (ReLU)

Kervolution implementation using TF2.0

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

I am taking up the #100DaysOfMLCode Challenge 😎

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

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

Real-time fall detection using two-stream convolutional neural net (CNN) with Motion History Image (MHI)

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

[Lumiata COVID-19 Winner] COVID Immunity testing results registered to the Blockchain for healthcare safety.

A system to recognize whether signatures are forged or real.

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

Graph convolution with tf.keras

Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

Facial Expression Recognition with Keras

Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)