keras

Machine Learning inference engine for Microcontrollers and Embedded devices

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

Food Classification with Deep Learning in Keras / Tensorflow

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

DenseNet implementation in Keras

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Optical Character Recognition in Swift for iOS&macOS. 银行卡、身份证、门牌号光学识别

A curated list of resources focused on Machine Learning in Geospatial Data Science.

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Reversi reinforcement learning by AlphaGo Zero methods.

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

AI与数据科学各类工具库速查表与参考代码

This is a bunch of code to port Keras neural network model into pure C++.

Train a state-of-the-art yolov3 object detector from scratch!

A Real-time Mario Kart 64 AI using ConvNets.

An implementation of Grad-CAM with keras

Real-time portrait segmentation for mobile devices

Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và C...

Attention mechanism for processing sequential data that considers the context for each timestamp.

猫狗大战

Deep NLP Course

[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

Kaggle datascience bowl 2017

Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,...

Implementation of Siamese Neural Networks for One-shot Image Recognition

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

📘 The experiment tracker for foundation model training

Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of running on top of TensorFlow, CNTK, or Theano.

语音识别理论、论文和PPT

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

Keras implementation of yolo v3 object detection.

CRF-RNN Keras/Tensorflow version

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation

Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations using user-defined labels

food image to recipe with deep convolutional neural networks.

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Code for YouTube series: Deep Learning for Audio Classification

Facenet implementation by Keras2

QKeras: a quantization deep learning library for Tensorflow Keras

A simplified framework and utilities for PyTorch

ACG2vec (Anime Comics Games to vector) are committed to creating a playground that combines ACG and Deep learning.（文本语义检索、以图搜图、语义搜图、...

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

Shape and dimension inference (Keras-like) for PyTorch layers and neural networks

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorit...

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals