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Identifying diabetic retinopathy using convolutional neural networks
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Official Python SDK for Hyperdash
Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
📚 Various cheatsheets in PDF
A DCGAN to generate anime faces using custom mined dataset
"NASNet" models in Keras 2.0+ with weights
中文文本分类实践,基于搜狗新闻语料库,采用传统机器学习方法以及预训练模型等方法
A data-driven line extractor for 2D anime, manga and illustration using Keras.
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
it's a small library for running trained Keras 2 models from a native C++ code.
Few Shot Learning by Siamese Networks, using Keras.
The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based...
Batch generation from xarray datasets
A collection of Audio and Speech pre-trained models.
Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)
top 1% solution to toxic comment classification challenge on Kaggle.
Keras implementation of CycleGAN using a tensorflow backend.
TensorFlow implementation of focal loss
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Set of models for classifcation of 3D volumes
Distributed Keras Engine, Make Keras faster with only one line of code.
Image denoising using deep CNN with batch renormalization(Neural Networks,2020)
Solving OpenAI Gym problems.
A two-way deep learning bridge between Keras and Fortran
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
AI场景分类竞赛
A Great Collection of Deep Learning (e)Books
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
CNN image classifier implemented in Keras Notebook 🖼️.
Deep-digit-detector (and recognizer) in natural scene. A digit detection framework was implemented using keras with tensorflow backend.
Gender detection (from scratch) using deep learning with keras and cvlib.
My (slightly modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/index.php/AAA...
A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets
RObust document image BINarization
Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)
EEG Sleep stage classification using CNN with Keras
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 cleaner way to build neural networks for PyTorch.
Autonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316
PyTorch implementation of the CVPR 2019 paper “Pyramid Feature Attention Network for Saliency Detection”
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
🧠 🦠 An artificial neural network and API to detect Windows malware, based on Ergo and LIEF.
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
基于卷积神经网络的语音识别声学模型的研究
The Inception-ResNet v2 model using Keras (with weight files)
Utilities for preprocessing text for deep learning with Keras
Face detection with mobilenet-ssd written by tf.keras.