Tome is a Claude Code plugin and a CLI tool with skills and scripts to create an llm-wiki based on karpathy's suggestion, with a quartz rendering layer for enhanced user readability, and a CLI that…

Universal message sender for Signal and SMS/iMessage

The best-benchmarked open-source AI memory system. And it's free.

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

Personal knowledge base for your agents powered by semantic search and a knowledge graph.

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

Coding project management workflow for Claude Code

Generative Agents: Interactive Simulacra of Human Behavior

Pretrain Vision and Large Language Models in Python, Published by Packt

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

All things related to tiny gang activites

A continuous integration (CI) system for 📓 Jupyter notebooks, built using 🧠 Amazon SageMaker.

Markdown <=> IPython Notebook

Official implementation of Character Region Awareness for Text Detection (CRAFT)

Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.

A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.

Documents for MXNet's deepnumpy API

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Highly scalable Apache MXNet based implementation of various Generative Adversarial Networks.

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

https://beta.mxnet.io/

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud

PlaidML is a framework for making deep learning work everywhere.

Multi Model Server is a tool for serving neural net models for inference

A clear, concise, simple yet powerful and efficient API for deep learning.