Stars
unitree Go2 robot learns locomotion with N-P3O algorithm and HIM alike policy trained by isaacgym
A simple and light-weight camera image processing pipeline
Evaluation tool for object detection models
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
A language for constraint-guided and efficient LLM programming.
Python wrapper for Google's Draco mesh compression library.
The devkit of the nuScenes dataset.
Official code for ROCA: Robust CAD Model Retrieval and Alignment from a Single Image (CVPR 2022)
Semantic Scene Completion via Integrating Instances and Scene in-the-Loop
This is BundleFusion for Ubuntu version
Official implementation of the CVPR 2022 Paper "Neural RGB-D Surface Reconstruction"
Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)
Code and models for our ICCV 2021 paper "MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis"
Plenoxels: Radiance Fields without Neural Networks
A curated list of awesome neural radiance fields papers
Hydra is a framework for elegantly configuring complex applications
Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral
A curated list of papers & resources linked to 3D reconstruction from images.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
A paper list of object detection using deep learning.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.