vsitzmann/snli-attention-tensorflow vsitzmann/snli-attention-tensorflow

  • Stars
    star
    24
  • Rank 980,748 (Top 20 %)
  • Language
    Python
  • License
    MIT License
  • Created over 8 years ago
  • Updated over 8 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
vsitzmann/snli-attention-tensorflow
github

vsitzmann

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Tensorflow implementation of the Long-Short Term Memory Network with Deep Attention Fusion for the SNLI dataset.

More Repositories

1

awesome-implicit-representations

A curated list of resources on implicit neural representations.
2,346
star
2

siren

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
Python
1,715
star
3

scene-representation-networks

Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Python
414
star
4

phd-master-application-docs

A collection of the application documents I used to apply to universities in the US.
407
star
5

deepvoxels

Python
218
star
6

light-field-networks

Python
167
star
7

metasdf

Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"
Jupyter Notebook
135
star
8

deepoptics

Python
121
star
9

shapenet_renderer

A clean, compact renderer for spherical images of shapenet objects in blender <2.8.
Python
72
star
10

pytorch_prototyping

Custom pytorch modules with sane default parameters useful for model prototyping. (U-Net, upsampling, downsampling...)
Python
63
star
11

vr-saliency

Jupyter Notebook
35
star
12

vsitzmann.github.io

HTML
12
star
13

neural-isometries

Official JAX implementation of neural isometries - taming transformations for equivariant ML
Python
4
star
14

cifar10_denoising

A tiny example application of pytorch_prototyping, with an example training script.
Python
3
star