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Jul 3, 2020 - Jupyter Notebook
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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
100-Days-Of-ML-Code中文版
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
A neural network that transforms a design mock-up into a static website.
Visualizer for neural network, deep learning and machine learning models
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Keras implementations of Generative Adversarial Networks.
Adding types on the public API surface would allow us to do some runtime type checking later on and would allow user's IDE to have more info for static analysis.
The functions/signatures to type are the ones listed here https://github.com/keras-team/autokeras/blob/master/autokeras/__init__.py
For the context, see #856 where I add some type information on a ImageClassifier.
This issue can
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
Set up deep learning environment in a single command line.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Run Keras models in the browser, with GPU support using WebGL
Deep Reinforcement Learning for Keras.
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
A course in reinforcement learning in the wild
PipelineAI Kubeflow Distribution
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
BigDL: Distributed Deep Learning Framework for Apache Spark
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
Introduction to Deep Neural Networks with Keras and Tensorflow
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Neural network visualization toolkit for keras
Add a description, image, and links to the keras topic page so that developers can more easily learn about it.
To associate your repository with the keras topic, visit your repo's landing page and select "manage topics."
Spawned off https://github.com/onnx/onnx/pull/2772/files/7ab93cc1b635eada330dae7424d4ff7e8c22c295#r440422245, opening issue to track resolution