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awesome-implicit-representations

A curated list of resources on implicit neural representations.

bilstm-crf

buboqa

centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darkflow-master

differentiable_volumetric_rendering

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

dvr_new

hypercl

Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.

hypernetworks

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

job-shop-scheduling-geneticalgorithm

Job shop Scheduling using Genetic Algorithm

ner-pytorch

LSTM+CRF NER

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

pixel-nerf

PixelNeRF Official Repository

pixel_nerf_2

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

smad

A Machine-learning Based Ensemble Method for Anti-patterns Detection

vit_nerf

master_code