hardianlawi's Stars
ByteByteGoHq/system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
openai/openai-cookbook
Examples and guides for using the OpenAI API
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
karanpratapsingh/system-design
Learn how to design systems at scale and prepare for system design interviews
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
kuchin/awesome-cto
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
stas00/ml-engineering
Machine Learning Engineering Open Book
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
doccano/doccano
Open source annotation tool for machine learning practitioners.
charlax/engineering-management
A collection of inspiring resources related to engineering management and tech leadership
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
zilliztech/GPTCache
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
prasadgujar/low-level-design-primer
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
pytorch/captum
Model interpretability and understanding for PyTorch
thunlp/OpenPrompt
An Open-Source Framework for Prompt-Learning.
thunlp/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
rbhatia46/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
feathr-ai/feathr
Feathr – A scalable, unified data and AI engineering platform for enterprise
plbrault/youre-the-os
A game where you are a computer's OS and you have to manage processes, memory and I/O events.
fsantini/KoboCloud
A set of scripts to synchronize a kobo reader with popular cloud services
NorskRegnesentral/skweak
skweak: A software toolkit for weak supervision applied to NLP tasks
Renumics/awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
huggingface/large_language_model_training_playbook
An open collection of implementation tips, tricks and resources for training large language models
leehanchung/awesome-full-stack-machine-learning-courses
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
matteocourthoud/Blog-Posts
Code and notebooks for my Medium blog posts