/ML-talks

Contains links and presentation files for talks (held weekly) on machine learning.

Primary LanguageJupyter Notebook

ML-talks

Instead of working in isolation, why not collaborate and work together on interesting ideas, form teams and participate in competitions, or just have discussions about what is trending in Machine Learning. To make that happen, we conduct talks every week or so, mostly on Saturday evening. This repository consists of presentations and links to previous talk material. You can find the plan and the rules for the talk HERE

Steps to follow if you want to give a talk:

  • Fill up your name and the topic in this sheet. After doing so, inform in the grp so that your peers may have a look at the prerequisites.
  • Make sure your talk is decided at least 2 days before the presenting, to avoid any last minute hassle.
  • After your talk is done, update the talk table below, and upload your presentation to the ppt folder through a PR (keep in mind the name: Talk[x], where [x] is the talk number)

Talks

Session 2020

Talk No Name Date of presentation Links Related Topics
1 Somnath 5-Sept-2020 multiple attachements in ppt 3D Computer Vision
2 Luv Bansal 12-sept-2020 GPT-3 GPT-3
3 Aman Mishra 19-sept-2020 paper link in ppt On video processing and action detection
4 Vikhyath Venkatraman 10-Oct-2020 Notion Link to Resources An Introduction to Reinforcement Learning
5 Aditya Kumar 17-Oct-2020 Notion link to Resources Attention is all you need
6 Yash Sahijwani 07-Nov-2020 Notion link to Resources Generative Models

Session 2021

Talk No Name Date of presentation Links Related Topics
1 Aditya Kumar 30-Sept-2021 Presentation Text-To-Speech Synthesis Systems
2 Aman Mishra 07-Oct-2021 Presentation Scope of Bayesian Formulations
3 Yash Sahijwani 21-Oct-2021 Presentation Locally Consistent Deformable Convolution