7014 Open source projects that are alternatives of or similar to Deep Learning Keras Tensorflow

Allstate Kaggle Competition ML Capstone Project

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Combining Psi4 and Numpy for education and development.

top 1% solution to toxic comment classification challenge on Kaggle.

Material for the tutorial: "Deep Diving into GANs: from theory to production"

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Tensorflow tutorial for various Deep Neural Network visualization techniques

Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

Building an image classifier using keras

This repository provides everything you need to get started with Python for (social science) research.

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

🛠 All-in-one web-based IDE specialized for machine learning and data science.

SuperComputing 2017 Deep Learning Tutorial

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

Deep Learning / NLP tutorial for Chatbot Developers

Deep Learning Zero to All - Tensorflow

Tutorial covering Open Source tools for Source Separation.

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

MicaSense RedEdge and Altum image processing tutorials

Machine learning with scikit-learn tutorial at PyData Chicago 2016

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).

Tutorial Sessions for SciPy Con 2019

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

1st place solution

INTERSPEECH 2019 Tutorial Materials

image processing codes to understand algorithm

Deep Learning libraries tested on images and time series

Important paper implementations for Question Answering using PyTorch

Tutorials for the Astropy Project

验证码识别

This is a jupyter practical tutorial. Welcome to edit together!

Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

A python tutorial on bayesian modeling techniques (PyMC3)

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

Tutorial: Web scraping in Python with Beautiful Soup

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

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

[tutorial]A functional, Data Science focused introduction to Python

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Tutorial for using Kitti dataset easily

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

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Tutorials for deep learning

No description or website provided.

Recognize Digits using Deep Neural Networks in Google Chrome live!

A collection of Jupyter notebooks showing how to use the Qiskit SDK

Jupyter notebook and datasets from the pandas Q&A video series

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).