Lists (6)
Stars
A latent text-to-image diffusion model
Google Research
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 ;)
A game theoretic approach to explain the output of any machine learning model.
Companion webpage to the book "Mathematics For Machine Learning"
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
PyTorch code and models for the DINOv2 self-supervised learning method.
Code release for NeRF (Neural Radiance Fields)
Python code for "Probabilistic Machine learning" book by Kevin Murphy
COCO API - Dataset @ http://cocodataset.org/
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
The 3rd edition of course.fast.ai
[ICCV 2019] Monocular depth estimation from a single image
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
A python tutorial on bayesian modeling techniques (PyMC3)
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
High Quality Monocular Depth Estimation via Transfer Learning
An introduction to network analysis and applied graph theory using Python and NetworkX