anirbanl

anirbanl.github.io

Personal Webpage of Anirban Laha

awesome-rl

Reinforcement learning resources curated

bleurt

BLEURT is a metric for Natural Language Generation based on transfer learning.

contrast

Jekyll Theme

Corr-seq-labeling

Code for paper "Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks"

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

discofuse

DiverstiyBasedAttentionMechanism

sparsegen

Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"

anirbanl/sparsegen

Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"

anirbanl/anirbanl.github.io

Personal Webpage of Anirban Laha

anirbanl/awesome-rl

Reinforcement learning resources curated

anirbanl/bleurt

BLEURT is a metric for Natural Language Generation based on transfer learning.

anirbanl/contrast

Jekyll Theme

anirbanl/Corr-seq-labeling

Code for paper "Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks"

anirbanl/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

anirbanl/deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

anirbanl/discofuse

anirbanl/DiverstiyBasedAttentionMechanism

anirbanl/files2rouge

Calculating ROUGE score between two files (line-by-line)

anirbanl/ganground

Functions and helpers related to GAN training in PyTorch

anirbanl/gComm

anirbanl/jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

anirbanl/jax-code

Code for the DL library JAX

anirbanl/jekyllblog

My blogs created through Jekyll

anirbanl/key-value-memory-networks

The implementation of key value memory networks in tensorflow

anirbanl/lola

Code release for Learning with Opponent-Learning Awareness and variations.

anirbanl/models

Models built with TensorFlow

anirbanl/pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

anirbanl/Reason-SCAN

ReaSCAN is a synthetic navigation task that requires models to reason about surroundings over syntactically difficult languages.

anirbanl/rl-code

RL practice code

anirbanl/sampleproject

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

anirbanl/scann

Google Research

anirbanl/sparse-structured-attention

Sparse and structured neural attention mechanisms

anirbanl/StructuredData_To_Descriptions

anirbanl/transformer_generalization

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

anirbanl/tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

anirbanl/word2vec

Automatically exported from code.google.com/p/word2vec