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3d-deepbox

3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)

3d-machine-learning

A resource repository for 3D machine learning

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3d-vehicle-tracking

3d_detection

3dod_thesis

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

ab3dmot

Official python implementation for "A Baseline for 3D Multi-Object Tracking"

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

acwj

A Compiler Writing Journey

adanet

Fast and flexible AutoML with learning guarantees.

advanced_data_structures_and_algorithms

code of the Course ADSA.

aistore

AIStore: scalable storage for AI applications

algos

Algorithms and Data Structures in practice.

allrank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

also

ALSO: Automotive Lidar Self-supervision by Occupancy estimation

amdim-public

Public repo for Augmented Multiscale Deep InfoMax representation learning

ap-loss

The implementation of "Towards accurate one-stage object detection with AP-loss" and its journal version.

apc-vision-toolbox

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

apollo

An open autonomous driving platform

asff

yolov3, ASFF

auto-gpt

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

automl

Google Brain AutoML

avod

Code for 3D object detection for autonomous driving

avod-ssd

Code for 3D single stage object detection for autonomous driving

awesome-mlops

A curated list of references for MLOps

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

bert

TensorFlow code and pre-trained models for BERT

bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1