Pinned Repositories
Adversarial-Semisupervised-Semantic-Segmentation
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
AF-Classification
AF Classification of short ECG lead recordings
DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Homogeneous-Self-Dual-LP-Solver
Homogeneous Self-Dual Method for Linear Programs
Interior-Point-Solver-for-LP-1
Mehrotra's Predictor-Corrector Algorithm for Linear Programming
ML-Interview
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
ml-notes
Collection of notes I take while studying machine learning
PyTorch-RL
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
references
Collection of useful references to miscellaneous topics.
mohitsharma-sh's Repositories
mohitsharma-sh/ml-notes
Collection of notes I take while studying machine learning
mohitsharma-sh/academic-kickstart
Easily create a beautiful website using Academic and Hugo
mohitsharma-sh/aml-run
GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.
mohitsharma-sh/aws-amplify-container
Dockerfile for hosting jekyll based website on aws amplify
mohitsharma-sh/AzureML-BERT
End-to-end recipes for pre-training and fine-tuning BERT using Azure Machine Learning service
mohitsharma-sh/blog-theme
Files needed to replicate my research blog
mohitsharma-sh/bootstrapDQN
Pytorch Implementation of BoostrappedDQN
mohitsharma-sh/DeepLearningExamples
Deep Learning Examples
mohitsharma-sh/domain-adapted-atsc
code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"
mohitsharma-sh/Efficient-PyTorch
My best practice of training large dataset using PyTorch.
mohitsharma-sh/fall2019
Fall 2019 repo for CIS 190: C++ Programming at Penn
mohitsharma-sh/few-shot-vid2vid
Pytorch implementation for few-shot photorealistic video-to-video translation.
mohitsharma-sh/few_shot_learning
classical model code implementation of few-shot/one-shot lenaring, including siamese network, prototypical network, relation network, induction network
mohitsharma-sh/GloVe
GloVe model for distributed word representation
mohitsharma-sh/hugo-academic
The website builder for Hugo. Build and deploy a beautiful website in minutes :rocket:
mohitsharma-sh/IL-RL
Code for experiments for IL+RL experiments
mohitsharma-sh/lowresource-nlp-bootcamp-2020
The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020
mohitsharma-sh/medical-datasets
tracking medical datasets, with a focus on medical imaging
mohitsharma-sh/Medical-image-registration
a project for developing registration tools with convolutional neural networks
mohitsharma-sh/MetaLearning4NLP-Papers
A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
mohitsharma-sh/ms-sharma.github.io
mohitsharma-sh/neuralcoref
✨Fast Coreference Resolution in spaCy with Neural Networks
mohitsharma-sh/nlp-architect
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
mohitsharma-sh/nlp-playground
Pytorch models for standard NLU tasks
mohitsharma-sh/numpy_exercises
Numpy exercises.
mohitsharma-sh/ppocma
mohitsharma-sh/python-playground
mohitsharma-sh/seq2seq.jl
mohitsharma-sh/Sparse-IL
Code accompanying the paper: Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces
mohitsharma-sh/wtte-rnn
WTTE-RNN a framework for churn and time to event prediction