fork123aniket
Software Developer at IBM India Systems Development Labs. Research Associate at IBM Research India. Main contributor at pytorch geometric.
IBM Systems Development Labs AND IBM Research IndiaBangalore, KA, India
Pinned Repositories
Contrastive-Learning-for-Sentence-Embeddings
Implementation of Simple Contrastive Learning-based Unsupervised approach to generate sentence embeddings and to perform text similarity in Tensorflow
Encoder-Decoder-based-Video-Captioning
Implementation of Encoder-Decoder Model for Video Captioning in Tensorflow
End-to-End-Node-and-Graph-Classification-and-Explanation-App
Streamlit App for Node and Graph Classification and Explainability
Graph-Clustering-using-Graph-Neural-Networks-from-scratch
Implementation of Graph pooling and clustering operation using Graph Neural Networks in PyTorch
Graph-Neural-Network-based-Visual-Question-Answering
Implementation of GNNs for Visual Question Answering task in PyTorch
Human-Activity-Recognition
Implementation for Video Human Activity Recognition using OpenCV
LLM-RAG-powered-QA-App
A Production-Ready, Scalable RAG-powered LLM-based Context-Aware QA App
Molecule-Graph-Generation
Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch
Text-to-Image-Synthesis-using-StackGANs
Implementation of StackGANs for text-to-image generation in Tensorflow
Visual-Contrastive-Learning-for-Few-shot-Image-Classification
Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch
fork123aniket's Repositories
fork123aniket/Molecule-Graph-Generation
Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch
fork123aniket/Visual-Contrastive-Learning-for-Few-shot-Image-Classification
Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch
fork123aniket/Human-Activity-Recognition
Implementation for Video Human Activity Recognition using OpenCV
fork123aniket/Graph-Clustering-using-Graph-Neural-Networks-from-scratch
Implementation of Graph pooling and clustering operation using Graph Neural Networks in PyTorch
fork123aniket/Contrastive-Learning-for-Sentence-Embeddings
Implementation of Simple Contrastive Learning-based Unsupervised approach to generate sentence embeddings and to perform text similarity in Tensorflow
fork123aniket/Encoder-Decoder-based-Video-Captioning
Implementation of Encoder-Decoder Model for Video Captioning in Tensorflow
fork123aniket/Graph-Neural-Network-based-Visual-Question-Answering
Implementation of GNNs for Visual Question Answering task in PyTorch
fork123aniket/LLM-RAG-powered-QA-App
A Production-Ready, Scalable RAG-powered LLM-based Context-Aware QA App
fork123aniket/Text-Generation
Implementation of Multi-Layer LSTMs for word-level language modelling in Tensorflow
fork123aniket/Text-to-Image-Synthesis-using-StackGANs
Implementation of StackGANs for text-to-image generation in Tensorflow
fork123aniket/Multivariate-Time-Series-Forecasting-for-Air-Pollution-using-LSTMs
Implementation of Multivariate Time Series Forecasting for Air Pollution using LSTMs in Keras
fork123aniket/Zero-Shot-Question-Answering
Implementation of Zero-Shot Question Answering in PyTorch
fork123aniket/Deep-Recurrent-Q-Networks
Implementation of Deep Recurrent Q-Networks for Partially Observable environment setting in Tensorflow
fork123aniket/Denoising-Diffusion-Probabilistic-Model-from-Scratch
Implementation of Denoising Diffusion Probabilistic Model from Scratch for Image Generation Task in PyTorch
fork123aniket/Graph-based-3D-Point-Cloud-Classification
Implementation of Graph Neural Network-based 3D Point Cloud Classification in PyTorch
fork123aniket/Model-agnostic-Graph-Explainability-from-Scratch
Implementation of Model-Agnostic Graph Explainability Technique from Scratch in PyTorch
fork123aniket/Model-Based-Reinforcement-Learning
Implementation of Model-based Reinforcement Learning Approach in Tensorflow
fork123aniket/Optimal-Partition-Search
Official Implementation of Optimal Partition Search Algorithm
fork123aniket/Abstractive-Text-Summarization
Implementation of an Attention-based LSTM Encoder-Decoder Approach for Abstractive Text Summarization
fork123aniket/CycleGAN-for-Image-Translation
Implementation of Cycle-consistent Generative Adversarial Networks for Image-to-Image Translation in Keras
fork123aniket/End-to-End-Node-and-Graph-Classification-and-Explanation-App
Streamlit App for Node and Graph Classification and Explainability
fork123aniket/fork123aniket.github.io
Personal academic website
fork123aniket/Human-Pose-Estimation
Implementation for Human Pose Estimation using OpenCV
fork123aniket/pytorch_geometric
Graph Neural Network Library for PyTorch
fork123aniket/Relational-Graph-Attention-from-Scratch
Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch
fork123aniket/Talks-and-Sessions
Repo containing prepared slides of my talks and sessions on "Learning on Graphs" and "GNN Explainability"