本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

High-Resolution Image Synthesis with Latent Diffusion Models

Official inference library for Mistral models

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

From the basics to slightly more interesting applications of Tensorflow

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

A collection of infrastructure and tools for research in neural network interpretability.

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

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …

Generate images from texts. In Russian

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

A PyTorch implementation of PointRend: Image Segmentation as Rendering

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

an numpy-based implement of PointRend

Implement complex computer vision algorithms and explore deep learning and face detection

A lightweight convolutional neural network

Instance Segmentation by Deep Coloring