A high-throughput and memory-efficient inference and serving engine for LLMs

A generative world for general-purpose robotics & embodied AI learning.

Python sample codes and textbook for robotics algorithms.

Code for the paper "Language Models are Unsupervised Multitask Learners"

Image augmentation for machine learning experiments.

A flexible framework of neural networks for deep learning

The Open Images dataset

Interactive Image Generation via Generative Adversarial Networks

🚅 Interactive prompts made simple. Build a prompt like stacking blocks.

Generate image analogies using neural matching and blending.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

NumPy and SciPy on Multi-Node Multi-GPU systems

Python library for GPGPU on Raspberry Pi

Data visualisation and ray tracing in Python based on OptiX 8.1 framework.

Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.