surbhardwaj Goto Github PK

aptos-2019-blindness-detection

attention-networks-for-classification

Hierarchical Attention Networks for Document Classification in PyTorch

aws

Stuff done on AWS. Gathered the steps of creating spark cluster on EC2.

bert-qna-squad_2.0_finetuned_model

BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.

cnn-application-sign-dataset-in-pytorch-count_how_many_fingers-

This repository showcases the use case of image classification on SIGN dataset with 6 classes. The dataset contains signs crated by hands.

coding

Contains Python Solution for various DSA problems

david-silver-reinforcement-learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

mass

MASS: Masked Sequence to Sequence Pre-training for Language Generation

ml_coding

mlcourse.ai

Open Machine Learning Course

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

python-is-cool

Cool Python features for machine learning that I used to be too afraid to use

pytorch-pretrained-bert

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

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

sg2im

Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

thanos-tree-augmented-hierarchical-attention-network-with-operator-reduce-parsing-

THANOS is a modification in HAN (Hierarchical Attention Network) architecture. Here we use Tree LSTM to obtain the embeddings for each sentence.

vdmr-dbscan

Research Work which I conducted as a part of my Master's thesis. Proposed a Map Reduce based scalable Density based clustering algorithm which is able to find clusters of varied density.