Training
mlcommons
Reference implementations of MLPerf® training benchmarks
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mlcommons
Reference implementations of MLPerf® training benchmarks
pytorch-tabular
A unified framework for Deep Learning Models on tabular data
trekhleb
🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
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
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
google-ai-edge
Cross-platform, customizable ML solutions for live and streaming media.
jindongwang
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
kedro-org
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are…
tensorflow
An Open Source Machine Learning Framework for Everyone