Pinned Repositories
Auckland_Cycling
An analysis of cycling counts in Auckland in relation to the weather
Computer-Vision
Data-Inc-Challenges
data_science_bowl_2018
My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton
dbg-pds
Deutsche Boerse's Financial Trading Public Data Set
deutsche-boerse
Analysing the Deutsche Börse Public Dataset (DBG PDS)
ecb-fsf-hackathon
eurex-flow
Eurex Flow: An Insight into Market Participants. Master Thesis, MADS 2021
time_series_clustering
Using Deep Learning and Computer Vision to cluster time series
gupta-dipanshu's Repositories
gupta-dipanshu/time_series_clustering
Using Deep Learning and Computer Vision to cluster time series
gupta-dipanshu/Auckland_Cycling
An analysis of cycling counts in Auckland in relation to the weather
gupta-dipanshu/Computer-Vision
gupta-dipanshu/Data-Inc-Challenges
gupta-dipanshu/data_science_bowl_2018
My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton
gupta-dipanshu/dbg-pds
Deutsche Boerse's Financial Trading Public Data Set
gupta-dipanshu/deutsche-boerse
Analysing the Deutsche Börse Public Dataset (DBG PDS)
gupta-dipanshu/ecb-fsf-hackathon
gupta-dipanshu/eurex-flow
Eurex Flow: An Insight into Market Participants. Master Thesis, MADS 2021
gupta-dipanshu/fastai-v3
Starter app for fastai v3 model deployment on Render
gupta-dipanshu/flow-test-practice
Mock test for Flow Traders mental maths test
gupta-dipanshu/gupta-dipanshu.github.io
gupta-dipanshu/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
gupta-dipanshu/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
gupta-dipanshu/img2vec-keras
Image to dense vector embedding. Clone of https://github.com/christiansafka/img2vec for Keras users
gupta-dipanshu/transactions-graph-generator
Generator for graph of transactions. Is kind of optimized for large graph generations. Contains graph structure generation, nodes information generation (client names, phone numbers, etc...), patterns generation