yudhiesh

Yudhiesh Ravindranath's starred repositories

Bend

A massively parallel, high-level programming language

Language:RustApache-2.01710900

lancedb-study

Benchmark study on LanceDB, an embedded vector DB, for full-text search and vector search

Language:PythonMIT1600

ThunderKittens

Tile primitives for speedy kernels

Language:CudaMIT145600

Auto_ViML

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Language:PythonApache-2.051800

lightning-thunder

Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.

Language:PythonApache-2.0110900

logfire

Uncomplicated Observability for Python and beyond! 🪵🔥

Language:PythonMIT185300

VectorDBBench

A Benchmark Tool for VectorDB

Language:PythonMIT48500

opensearch-py

Python Client for OpenSearch

Language:PythonApache-2.032600

cuvs

cuVS - a library for vector search and clustering on the GPU

Language:CudaApache-2.015300

lerobot

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Language:PythonApache-2.0544700

pgbouncer

lightweight connection pooler for PostgreSQL

Language:CNOASSERTION285600

pg_partman

Partition management extension for PostgreSQL

Language:PLpgSQLNOASSERTION202900

growthbook

Open Source Feature Flagging and A/B Testing Platform

Language:TypeScriptNOASSERTION593900

gitpod

The developer platform for on-demand cloud development environments to create software faster and more securely.

Language:GoAGPL-3.01267800

s3transfer

Amazon S3 Transfer Manager for Python

Language:PythonApache-2.020700

vector-db-benchmark

Framework for benchmarking vector search engines

Language:PythonApache-2.026100

MS-MARCO-Web-Search

A large-scale information-rich web dataset, featuring millions of real clicked query-document labels

MIT30300

pykan

Kolmogorov Arnold Networks

Language:Jupyter NotebookMIT1429800

user_preference_modeling

Multiple ways to model user preference in recommender systems

Language:PythonMIT1200

pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

Language:PythonApache-2.0161000

powertools-lambda-python

A developer toolkit to implement Serverless best practices and increase developer velocity.

Language:PythonMIT-0278600

scaling-python-with-ray

Serverless Python with Ray

Language:PythonNOASSERTION5200

pixi

Package management made easy

Language:RustBSD-3-Clause278900

rayvens

Rayvens makes it possible for data scientists to access hundreds of data services within Ray with little effort.

Language:PythonApache-2.04300

infinity

Infinity is a high-throughput, low-latency REST API for serving text-embeddings, reranking models and clip

Language:PythonMIT118500

corenet

CoreNet: A library for training deep neural networks

Language:PythonNOASSERTION689900

opensearch-migrations

All things migrations and upgrades for OpenSearch

Language:JavaApache-2.03100

efficient_data_processing_spark

Code for "Efficient Data Processing in Spark" Course

Language:Python20500

RAGs

RAGs: Simple implementations of Retrieval Augmented Generation (RAG) Systems

Language:Jupyter NotebookApache-2.07400

patterns

A catalogue of Rust design patterns, anti-patterns and idioms

Language:HandlebarsMPL-2.0794200