Autonomous driving - car detection using the very powerful YOLO model
Generative Adversarial Network for Manga-face Generation
Multi heads attention for image classification
[CIKM 2018] Weakly-Supervised Neural Text Classification
tf.keras + tf.data with Eager Execution
Time series forecasting
Reproducing Densely Interactive Inference Network in Keras
Package: R Interface to AutoKeras
Tutorial about the swap-face algorithm
image-preprocessing-techniques
Learn to create & deploy a deep learning algorithm into a production REST API microservice using Python, Keras, FastAPI, & NoSQL.
TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
Implementation of Zero-Shot Learning algorithm using Word2Vecs as class embeddings
Multi-Scale Context Aggregation by Dilated Convolutions in Keras.
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional...
Collection of cyber security and "AI" relevant topics
Pytorch to Tensorflow conversion made intuitive
Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf
天池阿里灵杰问天引擎电商搜索算法赛非官方 baseline,又名 NLP 从入门到 22/2771。
A bidirectional encoder-decoder LSTM neural network is trained for text summarization on the cnn/dailymail dataset. (MIT808 project)
15+ Machine/Deep Learning Projects in Ipython Notebooks
Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or m...
RFCN implement based on Keras&Tensorflow
CNNs for semantic segmentation using Keras library
Segmentation visualization, keras, augmentation, fine tuning
Tutorial on how to setup your system with a NVIDIA GPU and to install Deep Learning Frameworks like TensorFlow, Darknet for YOLO, Theano, and Keras; O...
Tensorflow2.x implementations of CTR(LR、FM、FFM)
Implementation of Action Recognition using 3D Convnet on UCF-101 dataset.
Tool to evaluate deep-learning detection and segmentation models, and to create datasets
This is a repo of basic Machine Learning what I learn. More to go...
self defined efficientnetV2 according to official version. Including converted ImageNet/21K/21k-ft1k weights.
How to generate realistic yelp restaurant reviews with Keras
A Simple Deep Neural Network to classify images made with Keras
biLSTM/CNN based deep learning framework for Question Answer Selection.
[MICCAI'21] [Tensorflow] Retinal Vessel Segmentation using a Novel Multi-scale Generative Adversarial Network
OpenCV Tutorials
Deploy a distributed AI stack to a multi-host or single-host Kubernetes cluster on CentOS 7 and also works on AWS - and comes with: cert-manager + red...
My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓
Hands-On Python Deep Learning for Web by Anubhav Singh and Sayak Paul
Integrating learning and task planning for robots with Keras, including simulation, real robot, and multiple dataset support.
A Transfer Learning based Object Detection API that detects all objects in an image, video or live webcam. An SSD model and a Faster R-CNN model was p...
Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.
A collection of model deployment library and technique.
Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data
Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
Real-time analysis of bitcoin markets with Kafka and Tensorflow Serving
Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.
A tensorflow & keras implementation of Deep Head Pose
A Mask R-CNN Keras implementation with Modanet annotations on the Paperdoll dataset