Outreach

2021

SAiDL Season of Code 2021

SAiDL's Season of Code gives students to work on cutting edge AI projects with a strong focus on Open Source. This year's program will run from August to December focusing on a broad range of topics through the following projects -

1. Causal Inference in Time Series

2. Program Synthesis with Julia

3. Visualisation Library for Vision Transformers

4. Meta Learning with Jax


More information on the projects goals, related topics, tools and mentors is available here. Stay tuned for more details and the release of the sign-up form!


Summer Induction Assignment 2021

Assignment can be found here.

2020

Summer Induction Assignment 2020

Assignment can be found here.

SAiDL Season of Code 2020

SAiDL's Season of Code gives students to work on cutting edge AI projects with a strong focus on Open Source.


List of Projects:

1. Open Source python package Adversarial NLP

2. Deep Contextual Bandits

3. Computer Vision for Sports Analytics

4. Knowledge Distillation library

5. Twitter Feed Distillation

6. Benchmarking Causal inference and Reinforcement learning algorithms on dynamic environments

7. Deep Learning package for Time Series Modelling

8. Exploring Applications of Spiking Neural Networks


More information on the project deliverables, description and mentors is available here.


QSTP: Introduction to Deep Learning

A Quark Summer Project on learning the fundamentals of deep learning and how they are applied in Computer Vision, Natural Language Processing and Reinforcement Learning.

2019

Winter Assignment

Induction assignment. Assignment can be found here.

CTE course: Introduction to Machine Learning

Taken by Rajaswa Patil and Pranav Mahajan

The course included introduction to fundamental concepts of Machine Learning and Deep learning and hand-on experience through projects and self-organized Kaggle competitions. Batch strength: 120 students.

Course handout.

CTE course: Advanced Computer Vision

Course taken by Ashwin Vaswani, Rijul Ganguly

Handout for the course can be found here.

TIP Projects and Courses

Learning to play games with RL, Computer Vision, Financial Market Modelling, Machine Learning and AI & Cognitive Neuroscience


Summer Assignment

Induction assignment. Assignment can be found here.

TIP course: Advanced Deep Learning

Taken by Mehul Rastogi, Sharad Chitlangia, Rijul Ganguly and Ajay Subramanian. Slides and resources can be found here.

2018

Winter Assignment

Induction assignment. Assignment can be found here.

TIP course: Introduction to Deep Learning

Taken by Alish Dipani, Mehul Rastogi, Sharad Chitlangia, Rijul Ganguly. Slides and resources can be found here.

2017

Winter Assignment

Induction assignment.