Seasons Of Code
Lossless high entropy compression algorithm • Anubhav Agarwal
WnCC - Seasons of Code
Seasons of Code is a programme launched by WnCC along the lines of the Google Summer of Code. It provides one with an opprtunity to learn and participate in a variety of interesting projects under the mentorship of the very best in our institute.
List of Running Projects
- Browser Based PDF manager
- Resume Script Generator
- Physicc : A Simple Physics Engine
- Image Colorization
- Language Model Based Syntax Autocompletion in a Text Editor
- Computer vision based web app
- Cribbit Cribbit (Open for PGs Only)
- Techster Texter
- Language Detection
- Book Tracker
- ResoBin - Not the bin we deserve but the bin we need!
- Moodify
- Agree to disagree
- Unscripted
- Watson (World's smartest assistant in your pocket)
- IITinder
- BriefKing
- Meta Learning - Learning to Learn
- Break free of the matrix, by building one!
- Procedurally Generated Infinite Open World
- Introduction to App Development
- PAC MAN
- Introduction to Web Development
- (Un)Clear
- Goal ICPC
- Traffic congestion modelling and rendering
- PyRated
- Tools for Data Science
- Machine Learning Based Metropolitan Air Pollution Estimation
- Audio controlled drone
- NLPlay with Transformers
- DIY FaceApp
- A Deep Dive into CNNs
- Competitive Coding
- Snake AI
- Facial Recognition App
- Gaming meets AI !!!
- R(ea)L Trader
- Computational Geometry
- Deep reinforcement learning - 2048 AI
- Reinforcement Learning to Finance
- Developing Hybrid ANN-Statistical Model for Robust Stock Market Prediction
- Si-Phy
- Astronomical Data-modelling and Interpretation
- Visual Perception for Self Driving Cars
- Convolutional Neural Networks and Applications
- Quantum Computing Algorithms
- Algorithm Visualizer
- Anime Club IITB Website using Django
- Machine Learning in Browser
Lossless high entropy compression algorithm
Implement your own sequence neural net
Ever dreamed of making the compression algorithm from Pied Piper featured in the popular Silicon Valley series? Here is your chance! The project aims at implementing a potentially lossless algorithm which, unlike others, can work even on high entropy data. The project will involve basic knowledge of Discrete Time Fourier Transform, signal processing. However, a major portion would involve developing expertise in neural networks with focus on RNNs, LSTMs, etc. You would implement your own sequence to sequence neural net aimed at performing a particular task which is essential to the working of compression algorithm.
Tentative Project Timeline
| Week Number | Tasks to be Completed |
|---|---|
| Week 1,2,3 | Developing fundamentals in python,machine learning and neural networks through popular sources like coursera, udacity. |
| Week 4,5 | Learning basics of RNNs and LSTMs and their in-depth implementation in tensorflow 2.0 |
| Week 6,7 | Trying out various models and getting your hands dirty while aiming to achieve the objective |
| Week 8,9 | If above task is complete, packaging everything into an end-to-end pipeline |