5921 Open source projects that are alternatives of or similar to Ipython Notebooks

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

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Notes and Summaries on ML-related Research Papers (with optional implementations)

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💎 数学公式识别

Implementing of the "A Neural Algorithm of Artistic Style"

Deep Learning Zero to All - Tensorflow

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Learn Python, Easy to learn, Awesome

Deep Learning for Land-cover Classification in Hyperspectral Images.

fastai V2 implementation of Timeseries classification papers.

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Experimental algorithms. Unsupported.

メディカルAIコース オンライン講義資料

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Natural Language Processing with TensorFlow, published by Packt

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Productionise your Jupyter Notebooks as easily as you wrote them.

A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Materials for GWU DNSC 6279 and DNSC 6290.

Repository containing files for my PyCon 2014 scikit-learn tutorial.

CardIO is a library for data science research of heart signals

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A sample code of data augmentation methods for wearable sensor data (time-series data)

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

Bonus materials, exercises, and example projects for our Python tutorials

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Scientific Python Geometric Algorithms Library

Data Visualization with Python

Unsupervised clustering with (Gaussian mixture) VAEs

Quick, visual, principled introduction to pytorch code through five colab notebooks.

Visual Question Answering Demo on pretrained model

Programming Music with Python, Sonic Pi and Supercollider

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

This is the code for "Stock Market Prediction" by Siraj Raval on Youtube

A tutorial on TensorFlow

Machine Learning Ops Workshop with SageMaker: lab guides and materials.

Visualisation tool for CNNs in pytorch

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

This repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.

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A Pytorch Computer Vision template to quick start your next project! 🚀🚀

Self hosted alternative to Google Photos

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

主要存储Datawhale组队学习中“推荐系统”方向的资料。

虾神的Python示例代码库

Visualising LIDAR data from KITTI dataset.