Chang Yong Lik's starred repositories
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
openai-python
The official Python library for the OpenAI API
the-algorithm
Source code for Twitter's Recommendation Algorithm
elasticsearch
Free and Open, Distributed, RESTful Search Engine
content-aks-basics
AKS Basics Course Files
DeepUnderstandingOfDeepLearning
Python code accompanying the course "A deep understanding of deep learning (with Python intro)"
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
VictoriaMetrics
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
spark-style-guide
Spark style guide
ml-interview
Preparing for machine learning interviews
kubernetes-crash-course
Learn Kubernetes and Docker with Google Kubernetes Engine deploying Spring Boot Microservices
mlflow-docker-compose
MLflow deployment with 1 command
deep_learning_curriculum
Language model alignment-focused deep learning curriculum
Awesome-Books-Notes
:books: Awesome CS Books(with Digests)/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档,以及我的读书笔记。