A latent text-to-image diffusion model

Python Data Science Handbook: full text in Jupyter Notebooks

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 ;)

Python programs, usually short, of considerable difficulty, to perfect particular skills.

The fastai book, published as Jupyter Notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

《统计学习方法》的代码实现

Code for Machine Learning for Algorithmic Trading, 2nd edition.

PRML algorithms implemented in Python

Public facing notes page

Best Practices, code samples, and documentation for Computer Vision.

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Visualizations for machine learning datasets

An annotated implementation of the Transformer paper.

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Single Shot MultiBox Detector in TensorFlow

Segment Anything in High Quality [NeurIPS 2023]

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

line drawing colorization using chainer

[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Python-based tools for document analysis and OCR

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Optimized Stable Diffusion modified to run on lower GPU VRAM