MysteriousNeutrino

clearml

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

zope.component

mlops-course

Learn how to design, develop, deploy and iterate on production-grade ML applications.

jan

Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM)

kserve

Standardized Serverless ML Inference Platform on Kubernetes

awesome-kubeflow

A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)

distributed-ml-patterns

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

automlops

Build MLOps Pipelines in Minutes

scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

pyinstrument

🚴 Call stack profiler for Python. Shows you why your code is slow!

py-spy

Sampling profiler for Python programs

pytest-leak-finder

Find the test that's leaking before the one that fails

pytest-line-profiler

Profile code executed by pytest, line by line.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

obsidian-copilot

🤖 A prototype assistant for writing and thinking

line_profiler

Line-by-line profiling for Python

Complete-Applied-Machine-Learning-with-Projects-Series

This repository contains everything you need to become proficient in Applied Machine Learning

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

invoke

Pythonic task management & command execution.

python-igraph

Python interface for igraph

code

Example application code for the python architecture book

docformatter

Formats docstrings to follow PEP 257

testovoe

Home assignments for data science positions

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Debugging-Machine-Learning-Models-with-Python

Debugging Machine Learning Models with Python, published by Packt

ctr-poisson-bootstrap

Here I demonstrate the performance difference between the Poisson and the classic bootstrap by estimating the confidence interval for the difference of CTRs of the two user groups

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

welcome-to-ddd

Definitions of DDD and fundamental concepts to reduce the learning curve and confusion