kkteru

basic-rl-algos

Implementations of fundamental RL algorithms

baymax28.github.io

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

grail

Inductive relation prediction by subgraph reasoning, ICML'20

graph-nn-resources

node-embeddings

Simple implementations of TransE, DistMult, ComplEx

r-gcn

PyToch implementation of R-GCN model for node classification and link prediction

reading-comprehension

Study of Attention Mechanisms and Adversarial Training for QA task

SEAL

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NIPS 2018 spotlight".

unbiased-gender-classifier

Reducing bias in classifiers by disentangling the input attributes

kkteru/grail

Inductive relation prediction by subgraph reasoning, ICML'20

kkteru/r-gcn

PyToch implementation of R-GCN model for node classification and link prediction

kkteru/node-embeddings

Simple implementations of TransE, DistMult, ComplEx

kkteru/reading-comprehension

Study of Attention Mechanisms and Adversarial Training for QA task

kkteru/graph-nn-resources

kkteru/SEAL

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NIPS 2018 spotlight".

kkteru/basic-rl-algos

Implementations of fundamental RL algorithms

kkteru/baymax28.github.io

kkteru/char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

kkteru/unbiased-gender-classifier

Reducing bias in classifiers by disentangling the input attributes

kkteru/CS224D_2k16

Assignments of CS224D taught in Spring 2k16

kkteru/CS231N_2k16

Assignments of CS231N as taught in Sporing 2k16

kkteru/DeepLearning-KGP

kkteru/dl-modelling-tricks

Nuggets of deep learning modelling tricks

kkteru/FaderNetworks

Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017

kkteru/IFT6135H19_assignment

kkteru/image-captioning

Experimenting with image captioning task.

kkteru/MNIST-Classifiers

This project is intended to act as learning platform for FFN, CNN and RNN to start with.

kkteru/network_science

kkteru/node2vec

Implementation of the node2vec algorithm.

kkteru/policy-gradient-analysis

kkteru/relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

kkteru/TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

kkteru/text-classification-datasets

kkteru/tmp

kkteru/tr-test

kkteru/trl

Train transformer language models with reinforcement learning.

kkteru/useful-distributions

kkteru/useful-inequalities

Gist of useful (in context of ML) inequalities

kkteru/ycbs273

https://kkteru.github.io/ycbs273/