rasbt

rasbt/deeplearning-models876

A collection of various deep learning architectures, models, and tips

sytelus

microsoft/tensorwatch142

Debugging, monitoring and visualization for Python Machine Learning and Data Science

frankchn

tensorflow/tpu204

Reference models and tools for Cloud TPUs.

timsainb

timsainb/tensorflow2-generative-models188

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

ldworkin

facebook/Ax190

Adaptive Experimentation Platform

czy36mengfei

czy36mengfei/tensorflow2_tutorials_chinese180

tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials

rlabbe

rlabbe/Kalman-and-Bayesian-Filters-in-Python420

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

xiaolai

clone95/Data-Science-Study-Paths-March-2019861

A complete ML study path, focused on TensorFlow and Scikit-Learn

Alfred1984

Alfred1984/interesting-python97

有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)

xiaolai

selfteaching/the-craft-of-selfteaching83

One has no future if he couldn’t teach himself.