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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

cs224d

CS224D Assignments

cs224d_2k16

Assignments of CS224D taught in Spring 2k16

cs231n

Convolutional Neural Networks Assignments

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

grail

Inductive relation prediction by subgraph reasoning, ICML'20

graph-nn-resources

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

node-embeddings

Simple implementations of TransE, DistMult, ComplEx

node2vec

Implementation of the node2vec algorithm.

policy-gradient-analysis

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

relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

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".

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorflow_ctc_example

A short example of training a bidirectional LSTM model with connectionist temporal classification

text-classification-datasets

tmp

tr-test

trl

Train transformer language models with reinforcement learning.

unbiased-gender-classifier

Reducing bias in classifiers by disentangling the input attributes