Pranjal Biyani
Employers on the program
- 2022–2024Polymerize3 talks
Appearances by year
- EuroPython
- PyData
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jul 8, 2024 | EuroPython 2024 | EuroPython | talk | Unlocking Mixture of Experts : From 1 Know-it-all to group of Jedi Masters as Polymerize Answer this : In critical domains like Healthcare would you prefer a Jack-of-all-trades OR one Yoda, the master? Join me on an exhilarating journey as we delve…Show lessAnswer this : In critical domains like Healthcare would you prefer a Jack-of-all-trades OR one Yoda, the master? Join me on an exhilarating journey as we delve deep into the Mixture of Experts (MoE) technique which is a practical and intuitive next-step to elevate predictive powers of... | Video |
| Jul 17, 2023 | EuroPython 2023 | EuroPython | talk | Solving Multi-Objective Constrained Optimisation Problems using Pymoo as Polymerize Pymoo is an open source python framework with state-of-the-art optimisation and post performance analysis capabilities. It provides an object oriented interface…Show lessPymoo is an open source python framework with state-of-the-art optimisation and post performance analysis capabilities. It provides an object oriented interface to solve constrained Single/Multi-Objective optimisation problems with a catalog of algorithms, customisations and post-optimisation... | Video |
| Jul 11, 2022 | EuroPython 2022 | EuroPython | talk | Synergize AI and Domain Expertise - Explainability Check with Python as Polymerize, Singapore The talk focuses on establishing guidelines for Explainable AI by diving into fundamental concepts and checkpoints, before accepting AI models to make…Show lessThe talk focuses on establishing guidelines for Explainable AI by diving into fundamental concepts and checkpoints, before accepting AI models to make decisions. | Video |
| Jun 17, 2022 | PyData London 2022 | PyData | tutorial | How to Stack Neural Networks together ? Ideas and ApplicationsExploring the process, implementation, practical applications, and advantages of stacking neural networks together. The tutorial focuses on building tunable,…Show lessExploring the process, implementation, practical applications, and advantages of stacking neural networks together. The tutorial focuses on building tunable, high-performance, multi-data-type feature models seamlessly using network concatenations in TensorFlow. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Cheuk Ting Ho | 4 | — | 2024 |
| Jeremiah Paige | 3 | — | 2024 |
| Jimmy Lai | 3 | — | 2024 |
| Kairo de Araujo | 3 | — | 2024 |
| Łukasz Langa | 3 | — | 2024 |
| Marc-André Lemburg | 3 | — | 2024 |
| Nicholas Tollervey | 3 | — | 2024 |
| Pablo Galindo Salgado | 3 | — | 2024 |
| Paolo Melchiorre | 3 | — | 2024 |
| Radoslav Georgiev | 3 | — | 2024 |
| Reuven M. Lerner | 3 | — | 2024 |
| Roberto Polli | 3 | — | 2024 |
| Valerio Maggio | 3 | — | 2024 |
| Vinícius Gubiani Ferreira | 3 | — | 2024 |
| Adrin Jalali | 3 | — | 2023 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.