arnabkar Goto Github PK

active-learning

ad-papers

Papers on Computational Advertising

adaptiveattention

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

adda_mnist64

Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano

alpha-gan

pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv preprint arXiv:1706.04987 (2017).

amazon-freertos

IoT operating system for microcontrollers.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

amortized_svgd

Experiments of amortized stein variational gradient

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

anomaly_with_experts

aparoksha-arnabkar

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

autoencoders

Torch implementations of various types of autoencoders

autoencoding_beyond_pixels

Generative image model with learned similarity measures

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

awesome-torch

A curated list of awesome Torch tutorials, projects and communities

awesome_tensorflow_implementations

awesome_time_series_in_python

This curated list contains python packages for time series analysis

bayesian-coresets

Automated Scalable Bayesian Inference

bert_mask

This is an example program illustrating BERTs masked language model.

betarpc-setup

bgnn

biddisco.github.io

Web pages for github projects

bigan

code for "Adversarial Feature Learning"

blockchain-stuff

Blockchain and Crytocurrency Resources

bristol

Parallel random matrix tools and complexity for deep learning

caffe

Caffe: a fast open framework for deep learning.