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This is the playbook for "code-with" customer or partner engagements
The hub for EleutherAI's work on interpretability and learning dynamics
📝 Go: A Documentary | https://golang.design/history
Work with LLMs on a local environment using containers
Podman Desktop - A graphical tool for developing on containers and Kubernetes
An Application Framework for AI Engineering
Set of tools to assess and improve LLM security.
A community-supported supercharged version of paperless: scan, index and archive all your physical documents
A developer-friendly API for converting numerous document formats into PDF files, and more!
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
Distribute and run LLMs with a single file.
The simplest way to build AI workloads on Postgres
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
🧰 A zero trust swiss army knife for working with X509, OAuth, JWT, OATH OTP, etc.
A transparent, highly scalable and cryptographically verifiable data store.
🚀 Visualise your Go program runtime metrics in real time in the browser
FreeAskInternet is a completely free, PRIVATE and LOCALLY running search aggregator & answer generate using MULTI LLMs, without GPU needed. The user can ask a question and the system will make a mu…
Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.
The course website for Large Language Models Methods and Applications
Tool kit for building secure, scalable, and networked services on top of AWS Nitro Enclaves.
Open-source code analysis platform for C/C++/Java/Binary/Javascript/Python/Kotlin based on code property graphs. Discord https://discord.gg/vv4MH284Hc
A library to extract Code Property Graphs from C/C++, Java, Go, Python, Ruby and every other language through LLVM-IR.
Simulating shitty network connections so you can build better systems.
This repository hosts a persona based privacy threat modeling solution called Models of Applied Privacy or MAP.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Implementation of Nougat Neural Optical Understanding for Academic Documents
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams