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Ben Graham's Projects

batchwise-dropout icon batchwise-dropout

Run fully connected artificial neural networks with dropout applied (mini)batchwise, rather than samplewise. Given two hidden layers each subject to 50% dropout, the corresponding matrix multiplications for forward- and back-propagation is 75% less work as the dropped out units are not calculated.

c3dpo_nrsfm icon c3dpo_nrsfm

C3DPO - Canonical 3D Pose Networks for Non-rigid Structure From Motion.

enorm icon enorm

Equi-normalization of Neural Networks

kill-the-bits icon kill-the-bits

Code for: "And the bit goes down: Revisiting the quantization of neural networks"

levit icon levit

LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

neuralbody icon neuralbody

Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021 best paper candidate

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch3d icon pytorch3d

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

ridgesfm icon ridgesfm

Ridge SfM Structure from Motion via robust pairwise matching under depth uncertainty

sparseconvnet-archived icon sparseconvnet-archived

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

syncmatch icon syncmatch

Self-supervised Correspondence Estimation via Multiview Registration

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