fabrol's Stars
infiniflow/ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
IntelLabs/fastRAG
Efficient Retrieval Augmentation and Generation Framework
3b1b/manim
Animation engine for explanatory math videos
brexhq/prompt-engineering
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
google/comprehensive-rust
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
vocodedev/vocode-core
🤖 Build voice-based LLM agents. Modular + open source.
mitmath/matrixcalc
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
dorianbrown/rank_bm25
A Collection of BM25 Algorithms in Python
erikw/advent-of-code-solutions
My solutions to puzzles at https://adventofcode.com/
SerenityOS/serenity
The Serenity Operating System 🐞
ajwerner/monkey
vitaly-t/pg-promise-demo
:eyeglasses: Advanced example of using pg-promise
quickwit-oss/tantivy
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
erikgrinaker/toydb
Distributed SQL database in Rust, written as an educational project
ajaxorg/ace
Ace (Ajax.org Cloud9 Editor)
syncthing/syncthing
Open Source Continuous File Synchronization
google/making_with_ml
alex/what-happens-when
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
DOsinga/deep_learning_cookbook
Deep Learning Cookbox
checkcheckzz/system-design-interview
System design interview for IT companies
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
philipperemy/n-beats
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
sktime/sktime
A unified framework for machine learning with time series
patrick-kidger/NeuralCDE
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
keyvanakbary/learning-notes
Notes on books I read, talks I watch, articles I study, and papers I love
cortexlabs/cortex
Production infrastructure for machine learning at scale
sebp/scikit-survival
Survival analysis built on top of scikit-learn
numenta/NAB
The Numenta Anomaly Benchmark
RomanPlusPlus/Thio
Thio - a playground for real-time anomaly detection
ottermegazord/mit6867
6.867 Machine Learning