Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖

Personalization for Stable Diffusion via Aesthetic Gradients 🎨

Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)

BUD-E (Buddy) is an open-source voice assistant framework that facilitates seamless interaction with AI models and APIs, enabling the creation and integration of diverse skills for educational and research applications.

Colabs for text prompt steered image generators

Applying Evolutionary Computing to Embeddings of Diffusion Models

Official repo for Project Alexandria

Fast Tensors Packaging library for text, image, video, and audio data compatible with PyTorch, TensorFlow, & NumPy 🖼️🎵🎥 ➡️ 🧠

Official implementation of SpottingDiffusion : A CNN-based method of detecting AI generated images.

A distributed system for large-scale image data processing with CLIP embeddings and FAISS indexing. Built on a five-node AlmaLinux cluster with SLURM, Ansible, and NFS. Supports modular embedding, FAISS shard merging, and capacity benchmarking with Prometheus.