yukang2017 Goto Github PK

autogpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-bev-perception-multi-cameras

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird-Eye-View, such as DETR3D, BEVDet, BEVFormer

composition-stable-diffusion

Image Composition via Stable Diffusion

detnas

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

eat-nas

EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

grounded-segment-anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Speech Inputs

groundingdino

The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

ierg5350-assignment

ist-net

link

[CVPR 2023] LinK: Linear Kernel for LiDAR-based 3D Perception

longbench

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

longlora

mask3d

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

nas-quantization

The code for Joint Neural Architecture Search and Quantization

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

paper-notes-2017

A notebook for some good papers I have read, including their key points and English writing.

pose-mobile

A real-time posing app

pysc2-buildmarines

renas

Code of ImageNet training and evaluation for the paper: RENAS: Reinforced Evolutionary Neural Architecture Search

segment-everything-everywhere-all-at-once

sparsekd

(NeurlPS 2022) Towards Efficient 3D Object Detection with Knowledge Distillation

spconv

Spatial Sparse Convolution Library

sps-conv

(NeurlPS 2022) Spatial Pruned Sparse Convolution for Efficient 3D Object Detection

spvnas

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

sst

Codes for “Fully Sparse 3D Object Detection” & “Embracing Single Stride 3D Object Detector with Sparse Transformer”

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

stitcher

vila

VILA - a multi-image visual language model with training, inference and evaluation recipe, deployable from cloud to edge (Jetson Orin and laptops)