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ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM)
Standardized Serverless ML Inference Platform on Kubernetes
A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
🚴 Call stack profiler for Python. Shows you why your code is slow!
Find the test that's leaking before the one that fails
Profile code executed by pytest, line by line.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
🤖 A prototype assistant for writing and thinking
This repository contains everything you need to become proficient in Applied Machine Learning
A high-throughput and memory-efficient inference and serving engine for LLMs
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Pythonic task management & command execution.
Example application code for the python architecture book
Home assignments for data science positions
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Debugging Machine Learning Models with Python, published by Packt
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
"Probabilistic Machine Learning" - a book series by Kevin Murphy