How to do Real Time Trigger Word Detection with Keras | DLology
Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras
Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.
Code for "Neural Networks for Topology Optimization"
Open-source deepfake detection: train your own model with TensorFlow, Keras & EfficientNet
Optimize layers structure of Keras model to reduce computation time
Model Compression CLI Tool for Keras.
An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.
15+ Machine/Deep Learning Projects in Ipython Notebooks
Introducing the AI-Powered Electronic Component Sorter: The Ultimate in Intelligent Component Management
A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"
More Than YOLO(v3, v4, v3-tiny, v4-tiny)
MIT-BIH ECG recognition using 1d CNN with TensorFlow2 and PyTorch
2018达观杯长文本分类智能处理挑战赛 18解决方案
bring keras-models to production with tensorflow-serving and nodejs + docker :pizza:
Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a diff...
Code and models for paper "Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge" at International Conference on Biome...
Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2
Using Keras and cats to visualize layers from CNNs
Realtime person's face recognize and can classify emotion using webcam, video or images.
Convolutional neural network code for extracting Lunar craters from Digital Elevation Maps (DEMs).
Keras implementation of CoordConv for all Convolution layers
Deep Learning experiments for audio classification
动漫图片超分辨率(SISR)——基于WDSR (2019-4-30)
transformers go brrr...
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Detect and recognize The Simpsons characters using Keras and Faster R-CNN
Source code of Indian Paper Currency Classification :fire:
Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000...
Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
VGG-19 deep learning model trained using ISCX 2012 IDS Dataset
A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.
Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.
This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning...
This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS...
Reinforcement Learning in Keras on VizDoom
face detection, verification and recognition using Keras
Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction
Implementation of MAXIM in TensorFlow.
Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.
Object localization in images using simple CNNs and Keras
These are a set of tools using OpenCV, Tensorflow and Keras, with which you can generate your own model of facial landmark detection and demonstrate t...