kkteru

grail

Inductive relation prediction by subgraph reasoning, ICML'20

r-gcn

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

node-embeddings

Simple implementations of TransE, DistMult, ComplEx

reading-comprehension

Study of Attention Mechanisms and Adversarial Training for QA task

graph-nn-resources

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".

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

unbiased-gender-classifier

Reducing bias in classifiers by disentangling the input attributes

CS224D_2k16

Assignments of CS224D taught in Spring 2k16

CS231N_2k16

Assignments of CS231N as taught in Sporing 2k16

DeepLearning-KGP

dl-modelling-tricks

Nuggets of deep learning modelling tricks

FaderNetworks

Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017

IFT6135H19_assignment

image-captioning

Experimenting with image captioning task.

MNIST-Classifiers

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

network_science

node2vec

Implementation of the node2vec algorithm.

policy-gradient-analysis

relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

text-classification-datasets

tmp

tr-test

trl

Train transformer language models with reinforcement learning.

useful-distributions

useful-inequalities

Gist of useful (in context of ML) inequalities

ycbs273

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