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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"

invariantspatialreasoningnetwork

An invariant Neural network that learns invariant features between parts of objects and their invariant spatial relations to perform affine invariant classification

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