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A guidance language for controlling large language models.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
My blogs and code for machine learning. http://cnblogs.com/pinard
Understanding Deep Learning - Simon J.D. Prince
Image restoration with neural networks but without learning.
Demo of running NNs across different frameworks
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
code for deep learning courses
Resources of semantic segmantation based on Deep Learning model
Detectorch - detectron for PyTorch
Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation
A citation recommendation system that allows users to find relevant citations for their paper drafts. The tool is backed by Semantic Scholar's OpenCorpus dataset.
Code for the paper: Fighting Fake News: Image Splice Detection via Learned Self-Consistency
Local Light Field Synthesis (Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng ICCV 2017)
北京化工大学 BUCT-UCE 社团: 编程学习 - 周计划WP，双周计划FP，月计划MP
Implementation of the approach described in the paper "Recurrent Instance Segmentation" https://arxiv.org/abs/1511.08250.