gopakumargeetha Goto Github PK

2016-ml-contest

Machine learning contest - October 2016 TLE

ai_ml_seismic_log

This is for AI prediction using seismic attributes

atpesc_machinelearning

avenir

Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

bayesian-neural-network-mnist

Bayesian neural network using Pyro and PyTorch on MNIST dataset

bert_medical_qa

Question Answering on emrQA dataset (clinical notes) using BERT

blog_stuff

experiments and snippets used on the blog

columbiax-statistical-thinking-for-data-science

This repo contains some R learning activities we created for our the course I for the ColumbiaX series on Data Science and Analytics on edX.

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cwt_cnn

Classification of multiple non-stationary time-series by using Continuous Wavelet Transformation

dagdata

Data for the HarvardX courses: PH525x

datadrivenchemistry

AC 209 Data Science Final project - A data driven, Quantum Mechanical understanding of Chemistry AKA Trying to make sense of 134k quantum calculations

datascience_artificialintelligence_utils

Examples of Data Science projects and Artificial Intelligence use cases

datasets

🤗 Fast, efficient, open-access datasets and evaluation metrics for Natural Language Processing and more in PyTorch, TensorFlow, NumPy and Pandas

datasharing

The Leek group guide to data sharing

deep-learning-har

Convolutional and LSTM networks to classify human activity

deep-learning-ts

Modeling and forecasting time series using deep learning

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deeplearning.ai-natural-language-processing-specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

drsa

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper.

edxtheanalyticsedge

MITx: 15.071x The Analytics Edge

energy-sdk

GPU Accelerated Building Blocks integrating HPC+AI for Energy Customers

facies-classification-machine-learning

faultseg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation

flower

Flower: A Friendly Federated Learning Framework

half-size

Effective Dimensionality Reduction for Word Embeddings.

handle_imabalnce_class

Address imbalance classes in machine learning projects.

hello-ltr

Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch

imbalanced-data

Notebook implementing techniques discussed in my blog post about imbalanced data.