Dhanashri Nair (DhanashriDNair)

DhanashriDNair

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Company:DXC Technology

Location:Hyderabad

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Dhanashri Nair's repositories

learning

Becoming 1% better at data science everyday

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Webscraping

Webscraping project

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data-science-interviews

Data science interview questions and answers

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nlp_highlights

The most important NLP highlights of 2018 (PDF Report)

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nlp-recipes

Natural Language Processing Best Practices & Examples

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TwitterBot_Ds

code for medium post on Twitter Bot for Data scientist

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machine-learning-systems-design

A booklet on machine learning systems design with exercises

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distil-bilstm

Scripts to train a bidirectional LSTM with knowledge distillation from BERT

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d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.

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gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

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keras-tuner

Hyperparameter tuning for humans

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headliner

🏖 Easy training and deployment of seq2seq models.

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ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

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stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

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data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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models

A collection of pre-trained, state-of-the-art models in the ONNX format

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Git-Commands

A list of commonly used Git commands

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co-learning-lounge

Welcome to the one point community-driven encyclopedia for anything in technology.

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ERNIE

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

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tensorpack

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

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pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

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awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

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what-to-code

Ideas for things to program

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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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ideas

:rocket: Ideas for everyone under a CC licence. Feel free to use.

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xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

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