BOBrown

InternLM

Official release of InternLM2.5 base and chat models. 1M context support

stanford_alpaca

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

InternLM-techreport

Instruct2Act

Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

galai

Model API for GALACTICA

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

llama

Inference code for Llama models

chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

PCSim

PCSim: LiDAR Point Cloud Simulation and Sensor Placement! Code of [ICRA 2023] "Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library" and [ICCV 2023] "Optimizing the Placement of Roadside LiDARs for Autonomous Driving".

TaskMatrix

3DTrans

An open-source codebase for exploring autonomous driving pre-training

ControlNet

Let us control diffusion models!

PAGCP

PAGCP for the compression of YOLOv5

ADAS

A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation

DomainBed

DomainBed is a suite to test domain generalization algorithms

Codes-for-PVKD

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)

SUG

[ACM MM23] Pytorch implementation for paper: SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification

HelixFormer

flax

Flax is a neural network library for JAX that is designed for flexibility.

IA-SSD

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)

SensorsCalibration

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

UM-MAE

Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"

DeCLIP

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

UniDet

Object detection on multiple datasets with an automatically learned unified label space.

VideoMAE

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

UniDet

Object detection on multiple datasets with an automatically learned unified label space.

CenterPoint

JADF-caffe

Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection

LiDAR-Distillation

[ECCV 2022] LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection