ustcsteve Goto Github PK

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

amazonreviewbycouldcomputing

auto-sklearn

Automated Machine Learning with scikit-learn

autoxgb

XGBoost + Optuna

aws-data-wrangler

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

bert

TensorFlow code and pre-trained models for BERT

challenge-wildfires

Starter kit for H2O.ai competition Challenge Wildfires.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

cltsalary_challenge

Salary challenge for office hours

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

credit-card-fraud-detection

To predict whether a credit card transaction is fraud or genuine

deep-learning-pictures

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dremio-postman

collection of Postman objects for Dremio

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

fastbook

The fastai book, published as Jupyter Notebooks

fasttext

Library for fast text representation and classification.

flaml

A fast and lightweight AutoML library.

flask101

Code from my series of articles on Flask

hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

image_classifier_pytorch_shoes

interview-code-practice-python

面试题

interview_internal_reference

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

interview_python

关于Python的面试题

lime

Lime: Explaining the predictions of any machine learning classifier

machine-learning-course

:speech_balloon: Machine Learning Course with Python. Refer to the course page for step-by-step explanations.

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft