Stars
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A multi-voice TTS system trained with an emphasis on quality
Code release for NeRF (Neural Radiance Fields)
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Keras version of Realtime Multi-Person Pose Estimation project
Bayesian learning and inference for state space models
Segment Anything for Microscopy
Medical Q&A with Deep Language Models
CLIPort: What and Where Pathways for Robotic Manipulation
Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.rea…
Code for our paper "Hamiltonian Neural Networks"
neural networks to learn Koopman eigenfunctions
CS198-96: Intro to Neurotechnology @ UC Berkeley
Halpe: full body human pose estimation and human-object interaction detection dataset
Remove problematic gender bias from word embeddings.
Previous version of eeg-notebooks
Various scripts to support deeplabcut and what to do afterwards!
Python and OpenCV based object tracking software
Motion capture (markerless 3D pose estimation) pipeline and helper GUI for tethered Drosophila.
Image processing pipeline for ECoG data
Implementation of Hidden Markov Models in pymc3