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[IJCV 2025] Project Page for "Deep Learning-Based Object Pose Estimation: A Comprehensive Survey".
A collection of concise notes on things I learn every day. Covering various topics, from tech to general knowledge. Quick insights for daily learning.
Pytorch implementation of Contact-GraspNet
The codes for ICCV2023 paper ' CASSPR: Cross Attention Single Scan Place Recognition'
ROB2004 Robotics manipulation and locomotion
paper list of robotic grasping and some related works
LaTeX source and supporting code for The Little Book of Semaphores, by Allen Downey.
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Exercises for the Robot Motion Planning course
[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning
A Simulation Environment to train Robots in Large Realistic Interactive Scenes
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
Efficient 6-DoF Grasp Generation in Cluttered Scenes
This repository contains a sample of the grasping dataset and tools to visualize grasps, generate random scenes, and render observations. The two sample files are in the HDF5 format.
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
ChatGPT for wechat https://github.com/AutumnWhj/ChatGPT-wechat-bot
Photometric Bundle Adjustment as a refinement step after feature-based Structure-from-Motion
A playbook for systematically maximizing the performance of deep learning models.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Solutions for the book "Speech and Language Processing" (3rd ed. draft) by Dan Jurafsky and James H. Martin
PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
A curated list of awesome neural radiance fields papers
An open source python library for scalable Bayesian optimisation.