Statistics for topic keras
RepositoryStats tracks 518,325 Github repositories, of these 744 are tagged with the keras topic. The most common primary language for repositories using this topic is Python (427). Other languages include: Jupyter Notebook (231), C++ (12), JavaScript (11)
Stargazers over time for topic keras
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Visualizer for neural network, deep learning and machine learning models
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras /...
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts ...
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
Machine Learning inference engine for Microcontrollers and Embedded devices
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Visualizer for neural network, deep learning and machine learning models
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
ncnn is a high-performance neural network inference framework optimized for the mobile platform
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.
Lightweight & fast OCR models for license plate text recognition.
An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras /...
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Visualizer for neural network, deep learning and machine learning models
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Lightweight & fast OCR models for license plate text recognition.
Machine Learning inference engine for Microcontrollers and Embedded devices
Examples of python neural net and ML stock prediction methods with sample stock data.
深度学习TensorFlow2入门指南。Deep Learning TensorFlow2 API and Examples with Python3 and Jupyter Notebook.
Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
KerasFuse is a Python library that combines the power of TensorFlow and Keras with various computer vision techniques for medical image analysis tasks. It provides a collection of modules and function...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Visualizer for neural network, deep learning and machine learning models
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
A neural network that transforms a design mock-up into a static website.
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、图片超分辨率、推荐系统）
Generative modeling of synthetic time series data and time series augmentations
Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.
Examples of python neural net and ML stock prediction methods with sample stock data.
Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree