Vinay Varma's repositories

pytorch-pretrained-BERT

The Big-&-Extending-Repository-of-Transformers: PyTorch pretrained models for Google's BERT, OpenAI GPT & GPT-2 and Google/CMU Transformer-XL.

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allennlp

An open-source NLP research library, built on PyTorch.

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SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch.

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OpenNMT-py

Open Source Neural Machine Translation in PyTorch

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lagom

lagom: A light PyTorch infrastructure to quickly prototype reinforcement learning algorithms.

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BayesianOptimization

A Python implementation of global optimization with gaussian processes.

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seq2seq-pytorch

Sequence to Sequence Models in PyTorch

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fixup

Fixup initialization implementation

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deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

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trfl

TensorFlow Reinforcement Learning

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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pytorch-A3C-1

Simple A3C implementation with pytorch + multiprocessing

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tensorlayer

Deep Learning and Reinforcement Learning Library for Developers and Scientists

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deep-learning-v2-pytorch

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

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practicalAI

A practical approach to learning machine learning.

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

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niveshi_data_generator

For project related to Niveshi Interview

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Tutorial_BayesianCompressionForDL

A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).

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pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

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vel

Velocity in deep-learning research

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pytorch-flows

PyTorch implementations of algorithms for density estimation

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Microsoft-Malware-Detection

Can we identify a malware by just looking at it's byte code.

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ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

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Quora-Intent-segregation

This repository aims to segregate questions with similar intent into the same group .This is useful for sites like Quora.Here I explore various techniques to predict whether any given pair of questions are similar ?

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PersonalizedCancerDiagnosis

Cancer Diagnosis with Machine Learning

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handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

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pycma

Python implementation of CMA-ES

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Practical-Deep-Learning-

Practical Deep Learning : A beginner tutorial to get up and running with practical deep learning.

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