Development repository for the Triton language and compiler

《Machine Learning Systems: Design and Implementation》- Chinese Version

OpenCL SDK

2024届互联网校招信息汇总

We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category…

🐍 Geometric Computer Vision Library for Spatial AI

This project is waiting for your contribution. If you have never contributed code on GitHub before, this is the project to get you started.

Benchmark datasets, data loaders, and evaluators for graph machine learning

Compute Vanishing points using RANSAC and rectify the image

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Open source Structure-from-Motion pipeline

Code release for ConvNeXt model

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…

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

⏰ AI conference deadline countdowns

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

PyTorch android examples of usage in applications

A Residual Block used by ResNet - Deep Learning with Pytorch

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

10x faster matrix and vector operations

Model summary in PyTorch similar to `model.summary()` in Keras

Deep Material-aware Cross-spectral Stereo Matching (CVPR 2018)

PyTorch implementation for unsupervised cross-spectral stereo matching using cycleGAN & dispnet

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

📈 Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

Learning to Estimate Hidden Motions with Global Motion Aggregation (ICCV 2021)

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

A Python Perceptual Image Hashing Module