Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
Quickly detect and classify different species of harmful algae within natural water samples under a microscope in real-time with AI and an inexpensive (~$10) camera (or, if preferred, smartphone).
Supercharge Your Model Training
An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Develop chess engine using neural networks
Web AI
🦋 A personal research and development (R&D) lab that facilitates the sharing of knowledge.
Robust multimodal brain registration via keypoints
On-device AI across mobile, embedded and edge for PyTorch
Advanced AI-driven tool for generating unique video game characters using Stable Diffusion, DreamBooth, and LoRa adaptations. Enhances creativity with customizable, high-quality character designs, tailored specifically for game developers and artists.
Example of training NN based on Tensorflow Metal using ARM M chips from Apple
A python script which enables mouse control using hand gestures through a webcam. This script uses MediaPipe hand tracking to feed a TensforFlow neural network model to enhance gesture classification.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
The mitsuba renderer code for paper: Neural Complex Luminaire: Representation and Rendering
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
A tool for cell instance aware segmentation in densely packed 3D volumetric images
(Windows/Linux) Local WebUI with neural network models (LLM, Stable Diffusion, AudioCraft, AudioLDM2, TTS, Bark, Whisper, Demucs, LibreTranslate, ZeroScope2, TripoSR, Shap-E, GLIGEN, Wav2Lip, Roop, Rembg, CodeFormer, Moondream 2) on python (In Gradio interface)
An *experimental* neural network library.