Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).

CVPRW 2021: How to calibrate your event camera

The Kalibr visual-inertial calibration toolbox

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Unofficial implementation of LSQ-Net, a neural network quantization framework

Edit Banana: A framework for converting statistical formats into editable.

Code for DBellQuant

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

an implementation of softmax splatting for differentiable forward warping using PyTorch

[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.

[Lumina具身智能社区] 具身智能技术指南 Embodied-AI-Guide

tinyODIN digital spiking neural network (SNN) processor - HDL source code and documentation.

A 32-bit Arithmetic Logical Unit which can perform Addition,Subtraction,Multiplication and Division on Single precision floating point numbers based on IEEE 754