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-vldb-mlci

aiops

artificial-intelligence-terminology

The English-Chinese paired terminologies in Artificial Intelligence Domain

autogbt

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.

automl-auto-sklearn

Automated Machine Learning with scikit-learn

automl-awesome-automl

Curating a list of AutoML-related research, tools, projects and other resources

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

awesome-llm-uncertainty-reliability-robustness

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

brain-tokyo-workshop

🧠🗼

clfman

clfman

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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，近30万字。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

deeplearning-models

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

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

dive-into-dl-pytorch

Dive into Deep Learning (动手学深度学习) with PyTorch.

dl-imperial-maths

Code and assignment repository for the Imperial College Mathematics department Deep Learning course

easeml

A Scalable Auto-ML System

full-speed-python

At full speed with Python: a book for self-learners

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hyperopt-sklearn

Hyper-parameter optimization for sklearn

ml_tests

mon-arch

Architecture docs for mon

monasca-agent

Agent for Monasca

nascell-automl

neural-architecture-search

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).