robot-ai-machinelearning Goto Github PK

18663_project_fbnet

Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)

2d-3d-object-detection

Related Paper and Code for 2D or 3D Object Detection

3d-adv-pc

Generating 3D Adversarial Point Clouds

3d-deepbox

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

3d-detection-papers

The papers in this list are about 3d detection, especially those using point clouds.

3d-mininet

Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

3dssd

3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)

3dssd-torch

ab3dmot

Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics", IROS 2020, ECCVW 2020

abcpruner

accelerating_nas

Repository for "Accelerating Neural Architecture Search using Performance Prediction" (ICLR Workshop 2018)

accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch

acnet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

adaxpert0

adversairal-attacks-pytorch

A pytorch implementations of Adversarial attacks and utils

adversarial-examples-in-pytorch

Pytorch code to generate adversarial examples on mnist and ImageNet data.

align_uniform

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.

alphanet

AlphaNet Improved Training of Supernet with Alpha-Divergence

altair

Declarative statistical visualization library for Python

amdim-public

Public repo for Augmented Multiscale Deep InfoMax representation learning

apbsint

Approximate Bayesian Inference Toolkit (Python, C++)

aps-channel-search

Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020

aria2gui

Aria2GUI for macOS

asng-nas

Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search

atomnas

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

attentivenas

code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

augment3d

Data augmentation utility for machine learning on 3D point clouds

augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

auto-seg-loss

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation

autograd

Efficiently computes derivatives of numpy code.