Abhishek Sinha (a7b23)

a7b23

Geek Repo

Company:MSCS at Stanford University

Home Page:https://a7b23.github.io/

Twitter:@a7b2_3

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Abhishek Sinha's repositories

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

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mini-imagenet-tools

Tools for generating mini-ImageNet dataset and processing batches

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CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

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maml-cifar-fs

Extended code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" with CIFAR-fs classification

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habitat-challenge

Code for the habitat challenge

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tensorpack

A Neural Net training Interface on TensorFlow, with focus on speed + flexibility

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cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

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mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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text-classification-in-pytorch-using-lstm

classification of the imdb large movie review dataset

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match

:crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch

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Custom-SVM-kernel

Leveraging Reinforcement Learning Based Search Mechanism for Custom SVM Kernel Discovery

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cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

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json

Output ExpressionEngine data in JSON format.

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NALU-pytorch

A PyTorch Implementation of "Neural Arithmetic Logic Units"

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Non-Maximum-Suppression

描述非极大值抑制(Non-Maximum-Suppression,NMS)

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RL-Adventure-2

PyTorch0.4 tutorial of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

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RL-Adventure

Pytorch easy-to-follow step-by-step Deep Q Learning tutorial with clean readable code.

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interviews

Everything you need to know to get the job.

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noisynetDQN

Tensorflow implementation of noisy DQN

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foolbox

Python toolbox to create adversarial examples that fool neural networks

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Distilling-the-knowledge-in-neural-network

Teaches a student network from the knowledge obtained via training of a larger teacher network

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handwriting-synthesis

Handwriting Synthesis with RNNs ✏️

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caffe

Caffe: a fast open framework for deep learning.

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