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