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neural-network-semantic-mapping

neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

neural-tangents

Fast and Easy Infinite Neural Networks in Python

new_darts

nn-bayesian-optimization

We use a modified neural network instead of Gaussian process for Bayesian optimization.

nn-compression

A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)

nn_robust_attacks

Robust evasion attacks against neural network to find adversarial examples

nni

An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.

non-local-nn-pytorch

Pyorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)

non-local_pytorch

Implementation of Non-local Block.

nsga-ii

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

nsga-net-post

Post processing and results visualization for NSGA-Net

nsga2

Implementation NSGA-II algorithm in form of python library

nsga2-1

Non-dominated Sort Genetic Algorithm II

nsga2_cuda

CUDA fine-grained implementation of the NSGA-II algortihm.

nsga3

A python implementation of NSGA-3.

nsgaiii

An implementation of NSGA-III in Python.

nsl

Implementation for <Neural Similarity Learning> in NeurIPS'19.

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

octnet

OctNet: Learning Deep 3D Representations at High Resolutions

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

opcseg

Learning to Optimally Segment Point Clouds, RAL/ICRA 2020

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

openselfsup

Self-Supervised Learning Toolbox and Benchmark

orb_slam2_ssd_semantic

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

p2b

P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds

paddleslim

PaddleSlim is an open-source library for deep model compression and architecture search.

paretomtl

Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning