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UID:pretalx-devcon8-93JNTN@cfp.devcon.org
DTSTART;TZID=IST:20261105T110000
DTEND;TZID=IST:20261105T115500
DESCRIPTION:Set up Visdom
DTSTAMP:20261101T051320Z
LOCATION:CLS - Builders Room
SUMMARY:Set up Visdom and Watch Your LLM - Manik Khajuria\, Jayant Parashar
 \, Rajnish Tiwari\, Vedansh Saini
URL:https://cfp.devcon.org/devcon8/talk/93JNTN/
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BEGIN:VEVENT
UID:pretalx-devcon8-AU7YLW@cfp.devcon.org
DTSTART;TZID=IST:20261105T144500
DTEND;TZID=IST:20261105T150000
DESCRIPTION:Training loops shouldn't need boilerplate just to see a loss cu
 rve. As part of my GSoC 2026 work with FOSSASIA on Visdom\, I built Visdom
 Logger — a native logging API that streams metrics straight to Visdom's 
 live dashboard. It shipped in Visdom v0.3.0 and is already usable today.\n
 \nVisdomLogger's design keeps Visdom's philosophy intact it receives value
 s through a simple log(name\, value) call and never instruments training i
 tself. That boundary is what makes true autologging possible on top of it 
 — and in this talk I'll show the real thing a Keras callback that hooks 
 into [model.fit](http://model.fit)() and streams loss\, accuracy\, and any
  tracked metric to Visdom automatically\, with zero manual logging calls i
 n the training loop.\n\nIn this lightning talk\, I'll run a live Keras tra
 ining script with no logging boilerplate and watch the dashboard populate 
 in real time\, then briefly show the same pattern working for PyTorch. I'l
 l close with what's next extending true autologging to PyTorch Lightning\,
  XGBoost\, and scikit-learn on a shared backend.
DTSTAMP:20261101T051320Z
LOCATION:Community Led Stage
SUMMARY:Zero-Boilerplate Dashboards: Live Autologging for Keras and PyTorch
  with Visdom - Jayant Parashar
URL:https://cfp.devcon.org/devcon8/talk/AU7YLW/
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BEGIN:VEVENT
UID:pretalx-devcon8-DUU3MK@cfp.devcon.org
DTSTART;TZID=IST:20261105T161500
DTEND;TZID=IST:20261105T170000
DESCRIPTION:Every 12 seconds\, Ethereum produces a new block full of transa
 ctions\, fees and smart-contract activity. Most people only see this data 
 as a list of hashes on a block explorer. In this hands-on workshop\, you w
 ill turn it into a live dashboard of your own.\n\nWe'll use Visdom and [We
 b3.py](http://Web3.py) to connect to an Ethereum node and stream blockchai
 n data into charts. By the end of the session\, each participant will have
  a working dashboard that updates with every new block\, showing:\n\n- bas
 e fee and priority fee over time\n\n- transactions per block\n\n- legacy v
 s. EIP-1559 transaction types\n\n- the distribution of ETH transferred\n\n
 - a network overview panel with the latest headline figures\n\nYou'll lear
 n how to arrange and save dashboard layouts\, and how to set up separate e
 nvironments for mainnet\, testnets or individual contracts. We'll also loo
 k at next steps: smart-contract analytics\, DeFi and NFT tracking\, node h
 ealth monitoring\, and visualizing machine-learning models trained on on-c
 hain data\, such as anomaly or bot detection.\n\nNo blockchain experience 
 is needed. Basic Python is enough.\n\n**What participants bring:** A lapto
 p with Python 3 installed\, and a free Ethereum RPC endpoint from any prov
 ider. It would help to share setup instructions in advance so no workshop 
 time goes to installs.
DTSTAMP:20261101T051320Z
LOCATION:CLS - Builders Room
SUMMARY:How to use Visdom to Visualize Ethereum and Blockchain Data - Manik
  Khajuria\, Norbert Preining\, Jayant Parashar\, Rajnish Tiwari\, Vedansh 
 Saini
URL:https://cfp.devcon.org/devcon8/talk/DUU3MK/
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