Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...

the LLM vulnerability scanner

Deployment and Analysis of TinyLlama 1.1B on Nvidia Jetson Nano: A Study of Query Workloads in Resource-Constrained Environments

A repo lists papers related to LLM based agent

TypeScript Interface for Ethereum

Reactive primitives for Ethereum apps

Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex di…

Learn System Design concepts and prepare for interviews using free resources.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Original Implementation of Prompt Tuning from Lester, et al, 2021

📈 Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

Universal and Transferable Attacks on Aligned Language Models

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparen…

Audio classification using Tensorflow

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing…

A distributed, fast open-source graph database featuring horizontal scalability and high availability

🤖 Machine Learning Summer School Guide

A list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare

A verification toolchain for Rust programs

BertViz: Visualize Attention in Transformer Models

This project compares the performance of a Naive Bayes model and fine-tuned BERT models on emotion classification from text.

Simple Python version management

CIFAR-10 Classification

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

A Python scikit for building and analyzing recommender systems

Linear and logistic regression with different optimizers (GD, SGD and Adam) in Numpy