lock mechanism with face recognition and liveness detection
코딩셰프의 3분 딥러닝, 케라스맛
Gender detection (from scratch) using deep learning with keras and cvlib.
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
C3D for Keras + TensorFlow
Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset
Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"
Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
CNN image classifier implemented in Keras Notebook 🖼️.
An awesome semantic segmentation model that runs in real time
Jupyter Notebook cung cấp các kiến thức cơ bản về Học Máy và Học Sâu bằng Python với Scikit-Learn, Keras, và TensorFlow 2.
Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS AP...
Face detection with mobilenet-ssd written by tf.keras.
Handwritten Digit Recognition using Machine Learning and Deep Learning
詳解ディープラーニング
Implementation of XLNet that can load pretrained checkpoints
it's a small library for running trained Keras 2 models from a native C++ code.
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
基于Tensorflow的常用模型,包括分类分割、新型激活、卷积模块,可在Tensorflow2.X下运行。
A collection of Natural language processing pre-trained models.
Implementation of Very Deep Convolutional Neural Network for Text Classification
Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.
作業分享:台大李宏毅 (Hung-Yi Lee) 教授的Machine Learning (2016, Fall)
An MDN Layer for Keras using TensorFlow's distributions module
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Metrics for Keras. DEPRECATED since Keras 2.3.0
A Scaffold to help you build Deep Learning Model much more easily, implemented with TensorFlow 2.0
100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training
🧠 🦠 An artificial neural network and API to detect Windows malware, based on Ergo and LIEF.
Some of my scripts to automate the boring stuff around me
Implementations of some popular Saliency Maps in Keras
Building an image classifier using keras
Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net
Code for TianChi 2018 FashionAI Cloth KeyPoint Detection Challenge
Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge
简明 SSD 目标检测模型 keras version(交通标志识别 训练部分见 dev 分支)
Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
TensorFlow 2 implementation of the Yahoo Open-NSFW model
Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
Lung fields segmentation on CXR images using convolutional neural networks.
TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed...
DeepLabV3+ implemented in TensorFlow2.0
Generate monophonic melodies with machine learning using a basic LSTM RNN
A Show And Tell implementation for iOS 11.0 based on CoreML
A bidirectional LSTM with attention for multiclass/multilabel text classification.
Solving OpenAI Gym problems.
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network