Machine Learning Interview
khangich
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
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209–224 / 475
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Results: 475
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
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
liuruoze
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city…
tensorflow
An Open Source Machine Learning Framework for Everyone
RasaHQ
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbo…
Unity-Technologies
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agen…
amark
An open source cybersecurity protocol for syncing decentralized graph data.
alteryx
An open source python library for automated feature engineering
doccano
Open source annotation tool for machine learning practitioners.
google-ai-edge
Cross-platform, customizable ML solutions for live and streaming media.
aimhubio
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
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.