An interactive HTML pretty-printer for machine learning research in IPython notebooks.

An open source US presidential election model from polling data

A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.

Predicting the 3D shape from a crochet pattern.

🏷 Visualize and optionally limit the size of your Pull Requests

The official PyTorch implementation of the paper: *Xili Dai, Haigang Gong, Shuai Wu, Xiaojun Yuan, Yi Ma. "Fully Convolutional Line Parsing." *.

Tabnine Autocomplete AI: JavaScript, Python, TypeScript, PHP, C/C++, HTML/CSS, Go, Java, Ruby, C#, Rust, SQL, Bash, Kotlin, Julia, Lua, OCaml, Perl, Haskell, React

StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

A New Optimization Technique for Deep Neural Networks

Filter Response Normalization Layer in PyTorch

Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

PyTorch 1.2 implementation of BSP-NET.

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

Tensorflow 1.15 implementation of BSP-NET, along with other scripts used in our paper.

Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.

Implementation for the Lookahead Optimizer.

A PyTorch implementation of EfficientNet

Monocular Depth Prediction

Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path, ICCV 2019

LCNN: End-to-End Wireframe Parsing

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

Animation engine for explanatory math videos

[CVPR'19] Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding

Source code for our CVPR 2019 paper - PPGNet: Learning Point-Pair Graph for Line Segment Detection

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

A graph matching library for Python