donnemartin / data-science-ipython-notebooks

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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.

python aws data-science machine-learning caffe theano big-data spark deep-learning hadoop tensorflow numpy scikit-learn keras pandas kaggle scipy matplotlib mapreduce

Updated Apr 3, 2022
Python

matterport / Mask_RCNN

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Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

tensorflow keras object-detection instance-segmentation mask-rcnn

Updated May 21, 2022
Python

lutzroeder / netron

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Visualizer for neural network, deep learning, and machine learning models

Updated May 28, 2022
JavaScript

MLEveryday / 100-Days-Of-ML-Code

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100-Days-Of-ML-Code中文版

python machine-learning tutorial deep-learning tensorflow keras jupyter-notebook supervised-learning unsupervised-learning chinese-simplified infographics 100-days-of-ml-code

Updated Apr 6, 2022
Jupyter Notebook

Tencent / ncnn

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ncnn is a high-performance neural network inference framework optimized for the mobile platform

Updated May 29, 2022
C++

kailashahirwar / cheatsheets-ai

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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

machine-learning deep-learning numpy keras artificial-intelligence scipy matplotlib

Updated Oct 19, 2019

emilwallner / Screenshot-to-code

Sponsor

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Open

HTML version: Code HTML not generated

5

hagerhaf commented Nov 29, 2019

I opened jupyter notebook and openend the HTML.ipynb

I clicked on Cells>Run all

I waited for a while and then I got this result:

https://ibb.co/gRg3Z0n

If this can help I also got this message.

https://ibb.co/ZcbtH1N

How can I fix this so that I can generate the HTML code?

Thanks in advance

good first issue

d2l-ai / d2l-en

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Open

[Tensorflow] Plots appear smoother inconsistent with MXNet/PyTorch

1

AnirudhDagar commented Jan 24, 2022

Although the results look nice and ideal in all TensorFlow plots and are consistent across all frameworks, there is a small difference (more of a consistency issue). The result training loss/accuracy plots look like they are sampling on a lesser number of points. It looks more straight and smooth and less wiggly as compared to PyTorch or MXNet.

It can be clearly seen in chapter 6([CNN Lenet](ht

tensorflow-adapt-track good first issue

onnx / onnx

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Open

Should we only use "https:"

2

AlexandreEichenberger commented Jan 27, 2022

Ask a Question

Question

The code has multiple reference to web addresses using "http://" instead of the more secure "https://". Is it not better to switch it to https uniformly?

question good first issue

Open

Upgrade mypy to latest version

2

Open

[Tracking] Upgrade MacOS to 11.0 from 10.15 in Mac release pipeline

3

Find more good first issues

horovod / horovod

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Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

machine-learning spark deep-learning uber mxnet tensorflow mpi keras pytorch machinelearning baidu deeplearning ray

Updated May 26, 2022
Python

ml-tooling / best-of-ml-python

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🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

python nlp data-science machine-learning awesome deep-learning tensorflow scikit-learn python-library keras ml data-visualization pytorch transformer data-analysis automl jax data-visualizations best-of

Updated May 26, 2022
Python

vipstone / faceai

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一款入门级的人脸、视频、文字检测以及识别的项目.

opencv tensorflow keras tesseract-ocr dlib

Updated Apr 16, 2020
Python

eriklindernoren / Keras-GAN

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Keras implementations of Generative Adversarial Networks.

deep-learning keras gan neural-networks generative-adversarial-networks

Updated Jan 23, 2022
Python

keras-team / autokeras

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Open

Specify hyperparameter ranges for blocks

18

haifeng-jin commented Nov 5, 2020

Feature Description

We want to enable the users to specify the value ranges for any argument in the blocks.
The following code example shows a typical use case.
The users can specify the number of units in a DenseBlock to be either 10 or 20.

Code Example

import au

feature request pinned good first issue contribution welcome

Open

Adding types information on the API surface.

2

ufoym / deepo

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Setup and customize deep learning environment in seconds.

caffe lasagne theano deep-learning jupyter mxnet chainer cntk tensorflow docker-image keras torch pytorch caffe2 sonnet dockerfile-generator onnx

Updated Mar 30, 2022
Python

microsoft / MMdnn

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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.

visualization caffe mxnet cntk tensorflow keras pytorch darknet coreml onnx model-converter

Updated Mar 1, 2021
Python

nl8590687 / ASRT_SpeechRecognition

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A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

python tensorflow keras cnn python3 speech-recognition speech-to-text ctc chinese-speech-recognition asrt

Updated May 26, 2022
Python

keras-rl / keras-rl

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Deep Reinforcement Learning for Keras.

machine-learning theano reinforcement-learning tensorflow keras neural-networks

Updated May 23, 2022
Python

arogozhnikov / einops

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Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

deep-learning chainer tensorflow numpy keras pytorch tensor gluon cupy jax

Updated Apr 11, 2022
Python

yandexdataschool / Practical_RL

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A course in reinforcement learning in the wild

reinforcement-learning deep-learning course-materials mooc tensorflow keras deep-reinforcement-learning pytorch hacktoberfest git-course pytorch-tutorials

Updated Apr 17, 2022
Jupyter Notebook

transcranial / keras-js

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Run Keras models in the browser, with GPU support using WebGL

javascript webgl machine-learning deep-learning tensorflow keras neural-networks

Updated Aug 16, 2018
JavaScript

tangyudi / Ai-Learn

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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-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Updated Feb 6, 2020

minimaxir / textgenrnn

Sponsor

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Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

python deep-learning tensorflow keras text-generation

Updated Dec 17, 2021
Python

ashnkumar / sketch-code

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Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

deep-learning tensorflow keras image-processing augmentation

Updated May 26, 2022
Python

tensorspace-team / tensorspace

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Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

visualization threejs machine-learning deep-learning tensorflow keras 3d nerual-network tfjs