tuanavu

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

Python

All Algorithms implemented in Python

system-design-101

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

grok-1

Grok open release

professional-programming

A collection of learning resources for curious software engineers

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?"

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

onnx

Open standard for machine learning interoperability

codellama

Inference code for CodeLlama models

awesome-system-design-resources

Learn System Design concepts and prepare for interviews using free resources.

metaflow

:rocket: Build and manage real-life ML, AI, and data science projects with ease!

autoscaler

Autoscaling components for Kubernetes

pinot

Apache Pinot - A realtime distributed OLAP datastore

chat-langchain

kserve

Standardized Serverless ML Inference Platform on Kubernetes

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

GQL

Git Query language is a SQL like language to perform queries on .git files with supports of most of SQL features such as grouping, ordering and aggregations functions

marquez

Collect, aggregate, and visualize a data ecosystem's metadata

go-control-plane

Go implementation of data-plane-api

Olive

Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation.

LookaheadDecoding

backend-swe-interview-questions

Technical interview questions for backend engineer.

llmperf

LLMPerf is a library for validating and benchmarking LLMs

nvbench

CUDA Kernel Benchmarking Library

modelmesh-serving

Controller for ModelMesh

inter-operator-scheduler

[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration

awesome-Auto-Parallelism

A baseline repository of Auto-Parallelism in Training Neural Networks

HierarchicalKV

HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of HierarchicalKV is to store key-value feature-embeddings on high-bandwidth memory (HBM) of GPUs and in host memory. It also can be used as a generic key-value storage.

mlops

MLops Trials