5921 Open source projects that are alternatives of or similar to Oreilly Learning Tensorflow

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Github repo with tutorials to fine tune transformers for diff NLP tasks

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Deep networks for Earth Observation

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TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

https://harvard-iacs.github.io/2019-CS109A/

TensorFlow 最新官方文档中文版

Repo for Udacity's Secure & Private AI course

Building a Bayesian deep learning classifier

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

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VERIS Community Database

Machine learning course materials.

Ephemera and other documentation associated with the 1337list project.

Production Data Science: a workflow for collaborative data science aimed at production

《TensorFlow 快速入门与实战》和《TensorFlow 2 项目进阶实战》课程代码与课件

Methods to get the probability of a changepoint in a time series.

Reference code for "Motion-supervised Co-Part Segmentation" paper

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

Google Brain AutoML

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

百度云魅族深度学习应用大赛

Named Tensor implementation for Torch

A real time Multimodal Emotion Recognition web app for text, sound and video inputs

Example deep learning projects that use wandb's features.

Variational autoencoders for collaborative filtering

Making carbon footprint data available to everyone.

南京大学计算机系 课程资料 作业 代码 实验报告 NJU-CS 课程分享计划 🍚​

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

Auto-encoding & Generating 3D Point-Clouds.

An example of doing MovieLens recommendations using triplet loss in Keras

Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

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A collection of demos showcasing automated feature engineering and machine learning in diverse use cases