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Keras
Keras is an open source, cross platform, and user friendly neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, and PlaidML.
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🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
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XSS Attack Machine Learning detection
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ncnn is a high-performance neural network inference framework optimized for the mobile platform
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Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam
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Wavelet scattering transforms in Python with GPU acceleration
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A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.
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Kaggle than Gargle
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Open standard for machine learning interoperability
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Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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A chess engine taught by supervised ensemble learning. Playable in a Django Web Framework front end.
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Visualizer for neural network, deep learning and machine learning models
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Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
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A project for lung disease detection and analysis using deep learning. It includes lung segmentation, disease classification, and severity localization with Grad-CAM for visual explanations. This repository provides code, datasets, and documentation for replication and further research.
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Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
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A modular inverse QSAR pipeline
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Samples and Tools for Windows ML.
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The objective of this project is to develop a Deep Learning Model to identify the X-Rays of healthy vs. Pneumonia (Corona) afflicted patients using the Chest X-Ray dataset, and use this model to power the AI application to test the Corona Virus in a faster phase.
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EBOP Model Automatic input Value Estimation Neural network
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🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
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Created by François Chollet
Released March 27, 2015
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- 435 followers
- Organization
- keras-team
- Website
- keras.io
- Wikipedia
- Wikipedia