chet-sheng Goto Github PK

airflow

Airflow Examples

apache-beam

Apache Beam

awesome-reinforcement-learning

Reinforcement learning resources curated

beam

Kick off apache-beam

blog

🌈 原创&翻译 🌈

cloudml-samples

Samples for Google Cloud Machine Learning Engine

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deeplearning.ai-natural-language-processing-specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deliveroo-test-for-machine-learning-engineering

distributed-tensorflow-guide

Distributed TensorFlow basics and examples of training algorithms

essential-sqlalchemy-2e

game2vec

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

gi13-cw01-basic

Tutorial on basic usage of tf

gi13-cw01-tensorflow

CW01_Diana's Code

google-calendar-analytics

[WIP] Google Calendar Analytics is designed to track and summarize events time in different catagories. Events are tagged with different labels. eg. Algo: Review Data Structure

gru4rec

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

gru4rec_tensorflow

TensorFlow implemenation of GRu4Rec model

interview-notebook

:calendar: 准备秋招学习笔记

machine-learning-cheat-sheet

This is a personalised machine learning cheat sheet. Link to the original edition is given.

machine-learning-resource

machine learning and deep learning tutorials, articles and other resources

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

ml-with-tensorflow-on-gcp

Machine Learning with TensorFlow on Google Cloud Platform:

models

Models and examples built with TensorFlow

negsampling-ner

Negative sampling for solving the unlabeled entity problem in NER. ICLR-2021 paper: Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition.

neural_collaborative_filtering

Neural Collaborative Filtering

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

python-docs-samples

Code samples used on cloud.google.com