sudhirpatil's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
OpenInterpreter/open-interpreter
A natural language interface for computers
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
MichaelCade/90DaysOfDevOps
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
fastai/fastbook
The fastai book, published as Jupyter Notebooks
google/eng-practices
Google's Engineering Practices documentation
great-expectations/great_expectations
Always know what to expect from your data.
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
ulid/spec
The canonical spec for ulid
shashank88/system_design
Preparation links and resources for system design questions
firmai/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
ept/ddia-references
Literature references for “Designing Data-Intensive Applications”
teivah/algodeck
An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯
sql-machine-learning/sqlflow
Brings SQL and AI together.
tssovi/grokking-the-object-oriented-design-interview
lancedb/lancedb
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
hudson-and-thames/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
georgezouq/awesome-ai-in-finance
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
awslabs/deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
sdv-dev/SDV
Synthetic data generation for tabular data
gunnarmorling/awesome-opensource-data-engineering
An Awesome List of Open-Source Data Engineering Projects
danieldelcore/mega-interview-guide
The MEGA interview guide, JavaSciript, Front End, Comp Sci
metafy-social/python-scripts
A repository of python scripts that come in handy in automating day-to-day tasks
slgriff/EPI-to-LC
Mappings of problems from the book Elements of Programming Interviews (EPI) to Leetcode
rasbt/stat451-machine-learning-fs21
chaugner/spirebase-interview
Interview Project
ktnsh24/FakerLibrary