Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
created at Sept. 9, 2022, 3:01 a.m.
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...) 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
created at April 29, 2021, 3:08 a.m.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
created at Nov. 25, 2020, 3:20 p.m.
You can Learn Basic Machine learning Techniques from here
created at Oct. 1, 2020, 9 a.m.
Flight_Fare_Prediction
created at Sept. 28, 2020, 1:35 a.m.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
created at July 23, 2020, 3:30 a.m.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
created at May 27, 2019, 4:55 p.m.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
created at May 15, 2019, 8:29 a.m.
Examples of Machine Learning code using Comet.ml
created at Nov. 21, 2018, 6 p.m.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
created at Nov. 1, 2018, 4:34 a.m.
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
created at April 18, 2018, 7:51 p.m.
Material for the Big Data Analytics exercise classes - INFOH515 - Big Data : Distributed Data Management and Scalable Analytics - Université Libre de Bruxelles
created at April 12, 2018, 7:57 a.m.