tungwini's Stars
jpmorganchase/inference-server
Deploy your AI/ML model to Amazon SageMaker for Real-Time Inference and Batch Transform using your own Docker container image.
ray-project/llm-numbers
Numbers every LLM developer should know
DopplerHQ/awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
TheAlgorithms/Python
All Algorithms implemented in Python
trekhleb/javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
yangshun/front-end-interview-handbook
⚡️ Front End interview preparation materials for busy engineers
Olshansk/interview
Everything you need to prepare for your technical interview
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
openai/openai-cookbook
Examples and guides for using the OpenAI API
databricks-academy/llm-foundation-models
aluismoya/EbookFoundation-free-programming-books
tatsu-lab/alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
microsoft/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
gpt-engineer-org/gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it. Completely separate team and codebase from the AI Web App builder https://gptengineer.app
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
Jack-Cherish/PythonPark
Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
awsdocs/amazon-sagemaker-developer-guide
The open source version of the Amazon SageMaker docs
awslabs/datawig
Imputation of missing values in tables.
erdavids/Generative-Art
A hub for all of my generative art projects
linuxacademy/content-kinesis-data-firehose-and-kinesis-data-analytics-2019
Content Repository for Kinesis lab
aws-samples/reinvent2019-aim362-sagemaker-debugger-model-monitor
Build, train & debug, and deploy & monitor with Amazon SageMaker
awslabs/unicornflix
Learn how to manage, process, host, and authorize access to streaming video content by building UnicornFlix
deptno/dynamon
:smiling_imp: Dynamon is GUI client for DynamoDB, can connect local dynamodb.
holdenk/spark-validator
A library you can include in your Spark job to validate the counters and perform operations on success. Goal is scala/java/python support.
high-performance-spark/high-performance-spark-examples
Examples for High Performance Spark
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning