Adventures using keras on Google's Cloud ML Engine
Tutorial teaching the basics of Keras and some deep learning concepts
Convolutional neural network code for extracting Lunar craters from Digital Elevation Maps (DEMs).
Medical image segmentation ( Eye vessel segmentation)
Vehicle-Rear: A New Dataset to Explore Feature Fusion For Vehicle Identification Using Convolutional Neural Networks
Save keras weight matrices as short animated videos during training
A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets
Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytor...
Batch generation from xarray datasets
ASCII summary for simple sequential models in Keras
Yolo for Android and iOS - Mobile Deep Learning Object Detection in Realtime written in Kotlin and Swift
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification...
AI for Medicine Specialization - Coursera offered by deeplearning.ai
Stream Tweets and store them in a relational DB. Perform sentiment analysis and network interaction.
基于pix2pix模型的动漫图片自动上色(keras实现) 2019-2-25
Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.
It is the skb path of Linux kernel
Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
Reference implementations of popular Binarized Neural Networks
Making predictions on prices in the Deutsche Börse Public Dataset using neural networks
Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17.
Connect4 reinforcement learning by AlphaGo Zero methods.
Batch Renormalization algorithm implementation in Keras
Batch Renormalization algorithm implementation in Keras
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification...
Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.
The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET
Text based assistant powered by Machine Learning and NLP
以jax为后端的类似keras的框架
Code for the paper Language Identification Using Deep Convolutional Recurrent Neural Networks
A Tensorflow Keras implementation (Graph and eager execution) of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
Factorization Machine for regression and classification
showing various ways to serve Keras based stable diffusion
A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + De...
[ICLR 2018] Tensorflow/Keras code for Semi-parametric Topological Memory for Navigation
The On-Ramp to Deep Learning
Fast Object Detector for the Jetson Nano
tutorials made for biologists to learn deep learning
This is the code repository for my Medium post "Understanding your Convolution network with Visualizations"
AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + De...
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. D...
CNN for intent classification task in a Chatbot
Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU
Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-repres...
Multiple Object Tracking System in Keras + (Detection Network - YOLO)
Demo for training a convolutional neural network to classify words and deploy the model to a Raspberry Pi using TensorFlow Lite.