Machine Learning Refined
neonwatty
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
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193–208 / 475
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 475
neonwatty
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
kwuking
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
trevorstephens
Genetic Programming in Python, with a scikit-learn inspired API
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
fivetran
Always know what to expect from your data.
eugeneyan
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
khangich
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
paperswithcode
:alarm_clock: AI conference deadline countdowns
MorvanZhou
Build your neural network easy and fast, 莫烦Python中文教学
vwxyzjn
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
cleanlab
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
jindongwang
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
google-ai-edge
Cross-platform, customizable ML solutions for live and streaming media.
tensorflow
An Open Source Machine Learning Framework for Everyone
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.