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

Slides and Jupyter notebooks

Best Practices, code samples, and documentation for Computer Vision.

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

How to train an object detection model with mmdetection

Tutorials of TensorFlow eager execution

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

A comprehensive guide for learning regular expressions using Python

Tutorials for deep learning

tutorials made for biologists to learn deep learning

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

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A Tutorial for Serving Tensorflow Models using Kubernetes

Association Rule Mining from Spatial Data for Crime Analysis

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

Generating Captions for images using Deep Learning

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

TensorFlow Tutorials with YouTube Videos

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

Course materials and handouts for #100DaysOfCode in Python course

Learning Vis Tools: Tutorial materials for Data Visualization course at HKUST

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

📚 机器学习基石和机器学习技法作业

A project for developing tutorials for Streams

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

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

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

Anomaly detection tutorial on univariate time series with an auto-encoder

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

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

Machine learning with scikit-learn tutorial at PyData Chicago 2016

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

Building an image classifier using keras

Combining Psi4 and Numpy for education and development.

INTERSPEECH 2019 Tutorial Materials

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

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。

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

1st place solution

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

SuperComputing 2017 Deep Learning Tutorial

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

Deep learning system course

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

Tutorial covering Open Source tools for Source Separation.

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

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

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

IEEE "Invited Talk on Deep Learning" 03/02/2018

Learn Python for free using open-source notebooks in Hebrew.

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

A python tutorial on bayesian modeling techniques (PyMC3)

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

No description or website provided.