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Content of the Active Inference Journal

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

k8spacket - collects TCP traffic and TLS connection metadata in the Kubernetes cluster using eBPF and visualizes in Grafana

Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, a…

Visualizations for machine learning datasets

Stable Diffusion with Core ML on Apple Silicon

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).

Lightweight Stable Diffusion v 2.1 web UI: txt2img, img2img, depth2img, inpaint and upscale4x.

Official Implementation of SinDiffusion: Learning a Diffusion Model from a Single Natural Image

DALL·E Mini - Generate images from a text prompt

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX

Foundation Architecture for (M)LLMs

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

Graph Neural Networks with Keras and Tensorflow 2.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts

CrowdStrike Container Image Scan Github Action

The Deepfake Offensive Toolkit

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

Style guide for Rego