arpit196 Goto Github PK

abstraction-and-reasoning-learning

adaug-learning-augmentations-through-adversarial-attacks

A repository for automatically generating augmentations for a given dataset

algorithms

arpit196

Config files for my GitHub profile.

artistic-neural-style-transfer

bddproject

bert

TensorFlow code and pre-trained models for BERT

bitbator

bitbator-frontback

book-recommender

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

chatbot-rnn

A toy chatbot powered by deep learning and trained on data from Reddit

cnn-dimensionality-reduction

decomposable-attention

TensorFlow implementation of the Decomposable Attention model (A Decomposable Attention Model for Natural Language Inference)

deep-sum-product-networks

Built a deep neural network that learns AND-OR boolean concepts with fewer layers and computational units.

deepadditivecnn

Built a deep neural network and modelled a regression problem through gradient boosting for time series based power consumption prediction

electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

examples

TensorFlow examples

facial-recognition-using-facenet-siamese-one-shot-learning

Implementation of Facial Recognition System Using Facenet based on One Shot Learning Using Siamese Networks

fewshot_detection

Few-shot Object Detection via Feature Reweighting

image_captioning

Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

keras-attention

Visualizing RNNs using the attention mechanism

language-modelling-and-natural-language-inference

machinelearning-samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-tensorflow

Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

mcb-model-for-vqa

This is an explanation and implementation of MCB for Visual QA with Tensorflow.

meta-unsupervised-representation-learning-for-prototypical-networks

meta-unsupervised-representations-for-prototypical-learning

mlpcw2