arqam-ai

3D-Machine-Learning

A resource repository for 3D machine learning

A1-QP-MPC-Controller

An open source implementation of MIT Cheetah 3 controllers

AdaBins

Official implementation of Adabins: Depth Estimation using adaptive bins

Andrew-NG-Notes

This is Andrew NG Coursera Handwritten Notes.

BlenderProc

A procedural Blender pipeline for photorealistic training image generation

courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

cs123-stanford-2023

dirt

DIRT: a fast differentiable renderer for TensorFlow

disprcnn

Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)

DPT

Dense Prediction Transformers

event-based_vision_resources

gradslam

gradslam is an open source differentiable dense SLAM library for PyTorch

Machine-Learning-Collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"

nba-prediction

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

Open3D-ML

An extension of Open3D to address 3D Machine Learning tasks

OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

openvslam

This is a community fork of https://github.com/xdspacelab/openvslam

Panoptic-PolarNet

Implementation for Panoptic-PolarNet (CVPR 2021)

point2mesh

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

PolarSeg

Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

Recent_SLAM_Research

Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】

resume

My Resume

SFA3D

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

SingleViewReconstruction

Official Code: 3D Scene Reconstruction from a Single Viewport

SoTA-Point-Cloud

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

SVR