pranaymodukuru's Stars
papers-we-love/papers-we-love
Papers from the computer science community to read and discuss.
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
invoke-ai/InvokeAI
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
felixrieseberg/windows95
💩🚀 Windows 95 in Electron. Runs on macOS, Linux, and Windows.
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
davisking/dlib
A toolkit for making real world machine learning and data analysis applications in C++
milanm/DevOps-Roadmap
DevOps Roadmap for 2024. with learning resources
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
super-linter/super-linter
Combination of multiple linters to run as a GitHub Action or standalone
Netflix/metaflow
Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems
bentoml/BentoML
The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!
deepchecks/deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
amontalenti/elements-of-python-style
Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python.
marcotcr/checklist
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Curt-Park/rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
dstackai/dstack
dstack is an open-source alternative to Kubernetes, designed to simplify development, training, and deployment of AI across any cloud or on-prem. It supports NVIDIA, AMD, and TPU.
hystax/optscale
FinOps, MLOps and cloud cost optimization tool. Supports AWS, Azure, GCP, Alibaba Cloud and Kubernetes.
hardmaru/estool
Evolution Strategies Tool
iterative/mlem
🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞
kengz/awesome-deep-rl
A curated list of awesome Deep Reinforcement Learning resources.
bioint/MetisFL
The first open Federated Learning framework implemented in C++ and Python.
DataTalksClub/project-of-the-week
Learn by doing: DIY project groups at DataTalks.Club
valeman/awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Galileo-Galilei/kedro-mlflow
A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)
sachua/mlflow-docker-compose
MLflow deployment with 1 command
xtma/pytorch_car_caring
Reinforcement Learning for Gym CarRacing-v0 with PyTorch
soundsensing/mlflow-easyauth
Deploy MLflow with HTTP basic authentication using Docker
pyaf/MoM-GPT
An application that helps you summarize your meetings in real time using OpenAI's ChatGPT APIs.