Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.

vision language model and large language model powered embodied robot

Paper List for Recommend-system PreTrained Models

Using GPT to organize and access information, and generate questions. Long term goal is to make an agent-like research assistant.

A Langchain app that allows you to chat with multiple PDFs

🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.

PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)

GMM-NPs by Volpp et al., ICLR 2023

Enjoy programming while playing a game.

Object-recognition using multiple templates in python

A curated list of awesome exploration RL resources (continually updated)

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

An elegant PyTorch deep reinforcement learning library.

Target journals and conferences in the field of robotics and computer vision.

This repository is the implementation of our CVPR 2020 work: "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences"

code for Fast Point Cloud Registration with Optimal Transport

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

A simulation of the robot navigation problem in OpenAI Gym.

Pybullet version of the multigoal robotics environment from OpenAI Gym

PyTorch Implementation of `Learning to Process Fewer Pixels` - [CVPR20 (Oral)]

Pytorch re-implementation of Paper: Image Inpainting with Learnable Bidirectional Attention Maps (ICCV 2019)

Re-Implementation of "Image Inpainting for Irregular Holes using Partial Convolution"

AdaLAM is a fully handcrafted realtime outlier filter integrating several best practices into a single efficient and effective framework. It detects inliers by searching for significant local affin…

Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization

Rembg is a tool to remove images background

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.t…

Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information