renat-abbyazov

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

applied-ml

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

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

fastbook

The fastai book, published as Jupyter Notebooks

jina

☁️ Build multimodal AI applications with cloud-native stack

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

optuna

A hyperparameter optimization framework

txtai

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

featuretools

An open source python library for automated feature engineering

nlpaug

Data augmentation for NLP

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

StyleCLIP

Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

zenml

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

transformer

Transformer: PyTorch Implementation of "Attention Is All You Need"

ml-system-design-pattern

System design patterns for machine learning

lightning-flash

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

mlrun

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

service-streamer

Boosting your Web Services of Deep Learning Applications.

anycost-gan

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

hexapod-robot-simulator

A hexapod robot simulator built from first principles

Practical-Deep-Learning-for-Coders-2.0

Notebooks for the "A walk with fastai2" Study Group and Lecture Series

kale

Kubeflow’s superfood for Data Scientists

pytorch_notebooks

🔥 A collection of PyTorch notebooks for learning and practicing deep learning

practical-ml-vision-book

openchat

OpenChat: Easy to use opensource chatting framework via neural networks

collie

A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.

Twittorials

Python for SEO tutorials we feature in Twitter every week

neelriyer.github.io

website