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pangjac
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Natural Language Processing Tutorial for Deep Learning Researchers
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
📑 Online machine learning resources
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Competitive Programming & System Design Resources.
A curated list of resources on credit card fraud detection.
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
UCB《Operating Systems and Systems Programming》课程：https://cs162.eecs.berkeley.edu
Download and generate EPUB of your favorite books from O'Reilly Learning (aka Safari Books Online) library.
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
A Python module for decorators, wrappers and monkey patching.
Low-code framework for building custom LLMs, neural networks, and other AI models
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Notes talking about the design and implementation of Apache Spark
Purely Functional Algorithms and Data Structures in Scala
List of checkboxes for IT project handover
header only, dependency-free deep learning framework in C++14
Deep Learning (Python, C, C++, Java, Scala, Go)
Elasticsearch, Logstash, Kibana (ELK) Docker image
A book series on JavaScript. @YDKJS on twitter.
Jupyter notebooks with exercises for the No bullshit guide to linear algebra.
Example of deploying a Python Flask app onto Heroku
Multithreading concept with heavy usage of the STL