At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.

You like pytorch? You like micrograd? You love tinygrad! ❤️

LLM Prompt Injection Detector

Stable Diffusion web UI

bloop is a fast code search engine written in Rust.

LLM inference in C/C++

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

AI 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…

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

Profiles controller for the fine grained control of Kubeflow

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Use Log4Shell vulnerability to vaccinate a victim server against Log4Shell

zkSync: trustless scaling and privacy engine for Ethereum

Super simple build framework with fast, repeatable builds and an instantly familiar syntax – like Dockerfile and Makefile had a baby.

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

☁️ Build multimodal AI applications with cloud-native stack

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

Topic Modelling for Humans

💬 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

TensorFlow code and pre-trained models for BERT

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

💫 Industrial-strength Natural Language Processing (NLP) in Python

Oxford Deep NLP 2017 course

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

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Forte is a flexible and powerful ML workflow builder. This is part of the CASL project: http://casl-project.ai/

Terraform provider to help with various AWS automation tasks (mostly all that stuff we cannot accomplish with the official AWS terraform provider)

Perform data science on data that remains in someone else's server

Model parallel transformers in JAX and Haiku