7050 Open source projects that are alternatives of or similar to Keras Oneclassanomalydetection

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

MobileNet-v2 experimental network description for caffe

MTCNN with Motion Detection, on Raspberry Pi with Love

Datasets, tools, and benchmarks for representation learning of code.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

All about Neural Networks!

This toolbox is support material for the book on CNN (http://www.convolution.network).

Face identification with cnn+triplet-loss written by Keras.

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Code for Tensorflow Machine Learning Cookbook

Setup and customize deep learning environment in seconds.

Convert TensorFlow models to ONNX

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

QA - Answer Selection (Rank candidate answers for a given question)

A deep learning based gaze estimation framework implemented with PyTorch

keras를 이용한 딥러닝 기초 학습

Implementation of Neural Image Captioning model using Keras with Theano backend

Diseases Detection from NIH Chest X-ray data

Text classification models. Used a submodule for other projects.

Caffe to VHDL

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

Evaluation of the CNN design choices performance on ImageNet-2012.

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

Keras version of Realtime Multi-Person Pose Estimation project

Exercise notebooks for CVND.

Some interesting TensorFlow tutorials for beginners.

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

CNN for intent classification task in a Chatbot

Solution to Kaggle - Web Traffic Time Series Forecasting

ML.NET Workshop to predict car sales prices

Try out deep learning models online on Google Colab

Service Classification based on Service Description

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

A Conversion tool to convert YOLO v3 Darknet weights to TF Lite model (YOLO v3 PyTorch > ONNX > TensorFlow > TF Lite), and to TensorRT (YOLO v3 Pytorch > ONNX > TensorRT).

Training Toolbox for Caffe

Visualisations for Convolutional Neural Networks in Pytorch

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

Try to use tf.estimator and tf.data together to train a cnn model.

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

PyTorch tutorials A to Z

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

Add-on package for ONNX format support in Chainer

PyTorch tutorial for learners

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

Caffe Implementation of Google's MobileNets (v1 and v2)

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.