ahmad-alismail

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

lorax

Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

AppAgent

AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.

NeMo-Guardrails

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

whylogs

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

langkit

🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀

GitUp

The Git interface you've been missing all your life has finally arrived.

representation-engineering

Representation Engineering: A Top-Down Approach to AI Transparency

mm

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

CoCa-pytorch

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

MaMMUT-pytorch

Implementation of MaMMUT, a simple vision-encoder text-decoder architecture for multimodal tasks from Google, in Pytorch

demo-uber-nyc-pickups

A Streamlit demo to interactively visualize Uber pickups in New York City

demo-self-driving

Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

awesome-ai-safety

📚 A curated list of papers & technical articles on AI Quality & Safety

DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

shap

A game theoretic approach to explain the output of any machine learning model.

rebuff

LLM Prompt Injection Detector

forestOfThoughts

langchain-examples

A collection of apps powered by the LangChain LLM framework.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

clean-code-python

:bathtub: Clean Code concepts adapted for Python

langchain-agents-tutorial

langchain-tutorials

Overview and tutorial of the LangChain Library

auto-evaluator

reactpy

It's React, but in Python