brandontrabucco/separable_attention brandontrabucco/separable_attention

  • Stars
    star
    1
  • Language
    Python
  • License
    MIT License
  • Created almost 6 years ago
  • Updated almost 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
brandontrabucco/separable_attention
github

brandontrabucco

Reviews

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

Repository Details

Implements a multi head attention mechanism for images.

More Repositories

1

da-fusion

Effective Data Augmentation With Diffusion Models
Python
193
star
2

design-bench

Benchmarks for Model-Based Optimization
Python
80
star
3

design-baselines

Baselines for Model-Based Optimization
Python
49
star
4

lstm-cuda

This is a c++ implementation of an LSTM Neural Network parallelized for a GPU using CUDA
Cuda
22
star
5

vq-vae-2

Vector Quantized Latent Variable Models In TF 2.0
Python
9
star
6

nerf

Neural Radiance Fields in PyTorch
Python
8
star
7

program-gan

We propose an architecture using the recent Generative Adversarial Networks and Hyper Networks to generate syntactically correct and behaviorally useful python source code from erroneous existing code.
Python
7
star
8

mass

A Simple Approach For Visual Room Rearrangement: 3D Mapping & Semantic Search (ICLR 2023)
Python
5
star
9

transformer_capsule_layer

Implements a convolutional capsule layer with a scaled dot product attention mechanism.
Python
4
star
10

detailed_captioning

Implements state-of-the-art image captioning algorithms, including the bottom-up top-down attention paper.
Python
4
star
11

pixelcnn

Conditional Gated Pixel CNN in TensorFlow 2
Python
4
star
12

lstm-python

This is an implementation of the LSTM Neural Network algorithm using Python 3.6.1 and NumPy.
Python
3
star
13

mineral

A minimalist reinforcement learning package for TensorFlow 2.0
Python
3
star
14

bvn

Birkhoff-von Neumann Decomposition with a Greedy Birkhoff Heuristic
Python
3
star
15

scaled_dot_product_attention

Implements the scaled dot product attention mechamism from the transformer. Vaswani, A. et al. https://arxiv.org/pdf/1706.03762.pdf
Python
3
star
16

constrained_beam_search

A tensorflow implementation of constrained beam search that supports arbitrary constraint definitions.
Python
3
star
17

image_caption_machine

A simple ros package for captioning images streamed from a camera.
Python
3
star
18

cider

A pure python cider scorer using numpy, see: https://arxiv.org/abs/1411.5726.
Python
2
star
19

morphing-agents

Collection Of Dynamic Morphology Agents For MuJoCo
Python
2
star
20

playground

Deep Reinforcement Learning
Python
2
star
21

glove

An implementation of a loader for the GloVe word embeddings.
Python
2
star
22

spork

CLI For Experiments On Slurm / Singularity
Python
2
star
23

deepfashion_dataset

TensorFlow build script for the deep fashion dataset, depends on glove embeddings.
Python
2
star
24

hypercomplex-nn

A neural network implemented using a hypercomplex utility library for tensorflow.
Python
2
star
25

off-policy

Off-Policy Reinforcement Learning Algorithms
Python
2
star
26

adversarial_attack

This is an adversarial attack against the inception v3 network on an ImageNet example.
Jupyter Notebook
2
star
27

efficient-hrl

This is a fork of tensorflow/models/research/efficient-hrl with some changes.
Python
2
star
28

hypercomplex-ops

Utility functions for TensorFlow that enable working with differentiable hypercomplex numbers.
C++
2
star
29

best_first

Non-Sequential Decoding Strategies for Image Captioning
Python
1
star
30

autodiff

A simple package for automatically calculating high order jacobian tensors.
Python
1
star
31

skip_cell

A tensorflow implementation of the RNN cell I invented during my internship at Teuscher Lab at Portland State University in 2016.
Python
1
star
32

batch_attention_test

This is a prototype for the attention mechanism used in my research with image captioning.
Jupyter Notebook
1
star
33

gesture

A Java based gesture recognition app that uses a Convolutional LSTM Neural Network
Java
1
star
34

probabilistic_vq

Implements probabilistic vector quantization for training discrete VAEs
Jupyter Notebook
1
star
35

im2txt_match

This is an augmentation of the Show and Tell model trained with an image caption pairwise discriminator.
Python
1
star
36

up_down_cell

Implements the bottom-up top-down attention mechanism from Anderson, Peter, et al. https://arxiv.org/abs/1707.07998
Python
1
star
37

wikipedia_dataset

This is a repository using the Wiki Extractor to build and prepare WIKIPEDIA for use in tensorflow.
Python
1
star
38

webgen

A collection of tools for generating synthetic web data.
Python
1
star