Chang Yong Lik's repositories
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
app-ideas
A Collection of application ideas which can be used to improve your coding skills.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-go
A curated list of awesome Go frameworks, libraries and software
awesome-mlops
A curated list of references for MLOps
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
coding-interview-university
A complete computer science study plan to become a software engineer.
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
developer-roadmap
Roadmap to becoming a developer in 2022
every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Machine-Learning-Collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
machine-learning-notes
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
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Multimodal-Transformer
[ACL'19] [PyTorch] Multimodal Transformer
Python
All Algorithms implemented in Python
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
tech-interview-handbook
💯 Curated interview preparation materials for busy engineers
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.