rskuzma's Stars
brexhq/prompt-engineering
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
Cerebras/modelzoo
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
enkaranfiles/Machine-Learning-Engineer-Roadmap
this is for myself, development roadmap
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
ml874/Cracking-the-Data-Science-Interview
Cracking the Data Science Interview
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
openai/whisper
Robust Speech Recognition via Large-Scale Weak Supervision
ostrolucky/Bulk-Bing-Image-downloader
Download full sized images returned from bing image search
ohyicong/Google-Image-Scraper
A library to scrap google images
patil-suraj/onnx_transformers
Accelerated NLP pipelines for fast inference on CPU. Built with Transformers and ONNX runtime.
eugenesiow/practical-ml
Learn by experimenting on state-of-the-art machine learning models and algorithms with Jupyter Notebooks.
serengil/deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
Chanda-Abdul/Grokking-the-Coding-Interview-Patterns
This course categorizes coding interview problems into a set of 16 patterns. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a specific category of problems. The goal is to develop an understanding of the underlying pattern, so that, we can apply that pattern to solve other problems.
sithankanna/ultimate-product-ds
The Ultimate Product Data Science & Analytics Resource
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
andkret/Cookbook
The Data Engineering Cookbook
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
HumanSignal/awesome-data-labeling
A curated list of awesome data labeling tools
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
microsoft/hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
visenger/awesome-mlops
A curated list of references for MLOps
dvgodoy/dl-visuals
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
TheAlgorithms/Python
All Algorithms implemented in Python
DocNow/hydrator
Turn Tweet IDs into Twitter JSON & CSV from your desktop!