tspen's Stars
NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
merveenoyan/smol-vision
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
matsonj/nba-monte-carlo
Monte Carlo simulation of the NBA season, leveraging dbt, duckdb and evidence.dev
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
AnswerDotAI/RAGatouille
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
stas00/ml-engineering
Machine Learning Engineering Open Book
milanm/DevOps-Roadmap
DevOps Roadmap for 2024. with learning resources
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
JooZef315/football-tracking-data-from-TV-broadcast
get football tracking data from TV broadcast using yoloV5, Deep sort
njacquelin/sports_field_registration
gaomingqi/Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
bradtraversy/design-resources-for-developers
Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
mercari/ml-system-design-pattern
System design patterns for machine learning
chiphuyen/python-is-cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
eon01/kubernetes-workshop
⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.
firmai/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
underthecurve/r-data-cleaning-tricks
Data Cleaning Tricks in R for Boston University's "Storytelling with Data" workshop
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
Quartz/bad-data-guide
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
DavisVaughan/furrr
Apply Mapping Functions in Parallel using Futures
dssg/aequitas
Bias Auditing & Fair ML Toolkit
algofairness/fairness-comparison
Comparing fairness-aware machine learning techniques.
cosmicBboy/themis-ml
A library that implements fairness-aware machine learning algorithms
sjessa/fair-ML
An exploration of methods for fair machine learning
adebayoj/fairml
rockita/criticalML
Toward ethical, transparent and fair AI/ML: a critical reading list for engineers, designers, and policy makers
mbilalzafar/fair-classification
Python code for training fair logistic regression classifiers.