depshad

ChatDev

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

loguru

Python logging made (stupidly) simple

phoenix

AI Observability & Evaluation

bootcamp

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

mlx

MLX: An array framework for Apple silicon

spelltest

AI-to-AI Testing | Simulation framework for LLM-based applications

timescaledb

An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

streamlit-feedback

Collect user feedback from within your Streamlit app

argilla

Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

streamlit-extras

Discover, try, install and share Streamlit re-usable bits we call "extras"!

SeeAct

[ICML'24] SeeAct is a system for generalist web agents that autonomously carry out tasks on any given website, with a focus on large multimodal models (LMMs) such as GPT-4V(ision).

axolotl

Go ahead and axolotl questions

baukit

LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

giskard

🐢 Open-Source Evaluation & Testing for LLMs and ML models

agents

An Open-source Framework for Autonomous Language Agents

LLaMA2-Accessory

An Open-source Toolkit for LLM Development

JARVIS

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

dstack

dstack is an easy-to-use and flexible container orchestrator for running AI workloads in any cloud or data center.

de-zoomcamp-2023

cleanvision

Automatically find issues in image datasets and practice data-centric computer vision.

Your-Journey-To-Fluent-Python

Your Journey To Fluent Python

PyTorch_CIFAR10

Pretrained TorchVision models on CIFAR10 dataset (with weights)

data-engineering-zoomcamp

Free Data Engineering course!

pytorch-ood

👽 Out-of-Distribution Detection with PyTorch

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

kernl

Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

Deep-Learning-in-Production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

NotesOfYouTubeSQLSeries

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection