Pinned Repositories
ansibleLab
Using docker container create a network of ubuntu containers on which person can test ansible playbook.
cs186
CS186 Spring 2015 Class projects
feast
Feast with GCP
feast-workshop
A workshop with several modules to help learn Feast, an open-source feature store
homer
HOMER - 100% Open-Source SIP / VoIP Packet Capture & Monitoring
notesApp
A basic nodejs note app
obsidian-text-extractor
A (companion) plugin to facilitate the extraction of text from images (OCR) and PDFs.
place2live
Analysis of the characteristics of different countries
pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tandelDipak's Repositories
tandelDipak/ansibleLab
Using docker container create a network of ubuntu containers on which person can test ansible playbook.
tandelDipak/cs186
CS186 Spring 2015 Class projects
tandelDipak/feast
Feast with GCP
tandelDipak/feast-workshop
A workshop with several modules to help learn Feast, an open-source feature store
tandelDipak/homer
HOMER - 100% Open-Source SIP / VoIP Packet Capture & Monitoring
tandelDipak/notesApp
A basic nodejs note app
tandelDipak/obsidian-text-extractor
A (companion) plugin to facilitate the extraction of text from images (OCR) and PDFs.
tandelDipak/place2live
Analysis of the characteristics of different countries
tandelDipak/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
tandelDipak/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tandelDipak/pytorch-Deep-Learning
Deep Learning (with PyTorch)
tandelDipak/search_fundamentals
Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-fundamentals?utm_source=daniel
tandelDipak/super_resolution
Enhancing the resolution of images using SRCNN
tandelDipak/tfx
TFX is an end-to-end platform for deploying production ML pipelines