A python library/command-line tool to quickly and automatically generate BibTeX data starting from the pdf file of a scientific publication.

Read ONNX graphs in Julia

Benchmark on interactive safety

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)

VNN Neural Network Verification Competition 2021

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

PDE-Net: Learning PDEs from Data

Paper List For Linking ODE and Deep Learning

A curated list of Meta-Learning resources/papers.

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

Lilian's Blog

Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

a bunch of notes about machine learning, image statistics, theoretical neuroscience, etc.

Code to convert a MXNet model into Caffe (C )

Flow-Guided Feature Aggregation for Video Object Detection

Flow-Guided Feature Aggregation for Video Object Detection

Consistent video saliency using local gradient flow optimization and global refinement

Demo code of the paper "SegFlow: Joint Learning for Video Object Segmentation and Optical Flow", in ICCV 2017

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

Deformable Convolutional Networks

Train DeepLab for Semantic Image Segmentation

code for "Deeply supervised salient object detection with short connections" published in CVPR 2017

Open source C physics engine library in 3D

One-Shot Video Object Segmentation

Code for our CVPR17 paper on "Video Propagation Networks"