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Implementation of papers in 100 lines of code.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Results of a browser energy efficiency benchmark for macOS
Efficient Deep Learning Systems course materials (HSE, YSDA)
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A repository in preparation for open-sourcing lottery ticket hypothesis code.
Site Reliability Engineer Interview Preparation Guide
Practical machine learning notebook & articles covers the machine learning end to end life cycle.
Compilation of high-profile real-world examples of failed machine learning projects
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
Companion webpage to the book "Mathematics For Machine Learning"
Curated list of project-based tutorials
The fastai book, published as Jupyter Notebooks
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
📺 Discover the latest machine learning / AI courses on YouTube.