Pikabot-RL

Pikabot-RL

Using RL for training bots to play the online battle game Pokémon Showdown

Diffusion-Everything

Diffusion Everything

Demos involving diffusion models : 1. Training and inference of diffusion on a custom 2D dataset. 2. Training and inference of VAE and latent diffusion models 3. Inference of large diffusion models with different reverse samplers

segment-then-edit

Segment-then-Edit

Segment parts of image and then perform inpainting or editing on specific object.

ImageAlchemy

Image-Alchemy

A two-stage personalization pipeline for personalized image generation using LoRA-based attention fine-tuning and segmentation-guided Img2Img synthesis.

KGE

Knowledge Graph Embeddings for VLMs

Analysing impact of vector and graph embeddings on retrieval generation of VLMs on downstream tasks.

FeedCode

FeedCode

FeedCode is an intelligent feedback tool that provides personalized code reviews based on your coding style and activity

Visual Ml

Visual ML

Interactive Visual Machine Learning Demos. Machine Learning in the browser powered by TF JS.

d2l PyTorch

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

Graph Nets

Graph Representation Learning

Implementation and Explanation Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet and GAT.

Visual Ml

Reinforcement Learning 2048

This project builds on a demo for playing the game 2048 using Reinforcement Learning.

Sarcasm Detection

Sarcasm Detection using BERT

Implementation of BERT based Sarcasm Detection Classification model using Tensorflow.

Adversarial Example

Adversarial Lab

This project builds on a demo for several Adversarial Attacks on ImageNet Classifier Models.

Number Plate Detection

Number Plate Detection

This is a step towards automating the vehicles entering IIT Roorkee campus using state of the art Deep learning & Computer Vision.

Eye in the Sky

Eye In The Sky: Image Segmentation Challenge Inter IIT 2018

Winning Solution in the Inter IIT Tech Meet 2018 Machine Learning Challenge, "Eye In The Sky".

Visualizing Loss

Visualizing Loss Functions

Visualising different loss and optimisation functions using Autoencoders.

Neural Style Transfer

Neural Style Transfer

Implementation of Neural Style Transfer described in the paper by Gatys et.al.

Traffic Sign

Beginner Friendly Project: Traffic Sign Classification

Using GTSRB dataset to build a CNN based Traffic Sign Classifier.