drealarun Goto Github PK

autokeras

accessible AutoML for deep learning.

bsn

Implementation of the Budgeted Super Networks

cgp-cnn

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

cgp-cnn-pytorch

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

darts

Differentiable architecture search for convolutional and recurrent networks

dataset_interface

deep-video-mvs

Code for "DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion" (CVPR 2021)

deep_architect

DeepArchitect: Automatically Designing and Training Deep Architectures

efficientdet

(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

genetic-cnn

CNN architecture exploration using Genetic Algorithm

geometry-free-view-synthesis

Is a geometric model required to synthesize novel views from a single image?

its_alive

Bringing artificial beings to life.

learning-to-see-in-the-dark

Learning to See in the Dark. CVPR 2018

lenia

Lenia - Mathematical Life Forms

models

Models and examples built with TensorFlow

mvsnerf

Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.

nasbot

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

nerflow

[ICCV'21] Neural Radiance Flow for 4D View Synthesis and Video Processing

neuralrecon

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

owl-sphere-test

pathlevel-eas

Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.

project

pvn3d

Code for "PVN3D: A Deep Point-wise 3D Keypoints Hough Voting Network for 6DoF Pose Estimation", CVPR 2020

pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

realestate10k_downloader

These scripts are used to download RealEstate10K dataset.

s3prl

Self-Supervised Speech Pre-training and Representation Learning Toolkit

smash

An experimental technique for efficiently exploring neural architectures.

squeezedet

This repository contains the code accompanying the work titled ''An investigation of regression as an avenue to find precision-runtime trade-off for object segmentation''.