George Hotz
BuilderSan Diego
@geohot
Founder of comma.ai (self-driving) and tinygrad (tiny neural network framework). Building simple, fast, open-source AI infrastructure.
Skills
Looking For
Research Foundations (4)
Attention Is All You Need
Used by: tinygrad
Gradient-based learning applied to document recognition
Used by: tinygrad
Learning Transferable Visual Models From Natural Language Supervision
Used by: openpilot
ImageNet: A Large-Scale Hierarchical Image Database
Used by: openpilot
Projects (2)
tinygrad
A tiny neural network framework. Under 1000 lines of code, supports GPU acceleration. The antithesis of PyTorch complexity.
Built on research:
Open-source self-driving system by comma.ai. Runs on supported cars with a $200 device. 10,000+ users driving daily.
Built on research:
AI Suggested Researchers
Researchers whose work may be relevant to your projects (auto-detected)
Jeff Dean
Google DeepMind
Geoffrey Hinton
University of Toronto
Silvio Savarese
Salesforce AI Research
Max Welling
University of Amsterdam / Microsoft Research
AI Suggested Papers
Papers that may have inspired your projects (auto-detected by domain & keyword analysis)
For tinygrad:
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
ICLR 2019 · 2019 · 6,500 citations
Auto-Encoding Variational Bayes
ICLR 2014 · 2014 · 22,000 citations
Long Short-Term Memory
Neural Computation · 1997 · 95,000 citations
For openpilot:
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
NeurIPS 2017 · 2017 · 8,500 citations
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
CVPR 2018 · 2018 · 3,800 citations
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
IEEE TPAMI · 2017 · 14,000 citations