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IBM Systems Development Labs AND IBM Research India
- Bangalore, KA, India
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Streamlit App for Node and Graph Classification and Explainability
pytorch graph-convolutional-networks graph-classification cora graph-neural-networks enzymes graph-representation-learningHTML MIT License UpdatedApr 16, 2024 -
fork123aniket.github.io Public
Forked from academicpages/academicpages.github.ioPersonal academic website
JavaScript MIT License UpdatedMar 25, 2024 -
LLM-RAG-powered-QA-App Public
A Production-Ready, Scalable RAG-powered LLM-based Context-Aware QA App
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Deep-Recurrent-Q-Networks Public
Implementation of Deep Recurrent Q-Networks for Partially Observable environment setting in Tensorflow
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pytorch_geometric Public
Forked from pyg-team/pytorch_geometricGraph Neural Network Library for PyTorch
Python MIT License UpdatedSep 17, 2023 -
Optimal-Partition-Search Public
Official Implementation of Optimal Partition Search Algorithm
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Implementation of Denoising Diffusion Probabilistic Model from Scratch for Image Generation Task in PyTorch
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Implementation of StackGANs for text-to-image generation in Tensorflow
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Implementation of Cycle-consistent Generative Adversarial Networks for Image-to-Image Translation in Keras
keras convolutional-neural-networks generative-adversarial-networks keras-models keras-neural-networks image-to-image-translation cycle-ganPython MIT License UpdatedMay 1, 2023 -
Implementation of Multivariate Time Series Forecasting for Air Pollution using LSTMs in Keras
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Implementation of Simple Contrastive Learning-based Unsupervised approach to generate sentence embeddings and to perform text similarity in Tensorflow
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Text-Generation Public
Implementation of Multi-Layer LSTMs for word-level language modelling in Tensorflow
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Molecule-Graph-Generation Public
Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch
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Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch
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Implementation of GNNs for Visual Question Answering task in PyTorch
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Implementation of Model-Agnostic Graph Explainability Technique from Scratch in PyTorch
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Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch
pytorch heterogeneous-network relational-model pytorch-tutorial graph-attention-networks pytorch-graphs pytorch-geometricPython MIT License UpdatedApr 29, 2023 -
Implementation of Graph pooling and clustering operation using Graph Neural Networks in PyTorch
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Talks-and-Sessions Public
Repo containing prepared slides of my talks and sessions on "Learning on Graphs" and "GNN Explainability"
MIT License UpdatedJan 14, 2023 -
Implementation of an Attention-based LSTM Encoder-Decoder Approach for Abstractive Text Summarization
natural-language-processing tensorflow keras nltk text-summarization encoder-decoder abstractive-text-summarizationPython MIT License UpdatedDec 6, 2022 -
Human-Activity-Recognition Public
Implementation for Video Human Activity Recognition using OpenCV
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Human-Pose-Estimation Public
Implementation for Human Pose Estimation using OpenCV
Python MIT License UpdatedNov 27, 2022 -
Implementation of Encoder-Decoder Model for Video Captioning in Tensorflow
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Zero-Shot-Question-Answering Public
Implementation of Zero-Shot Question Answering in PyTorch
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Implementation of Model-based Reinforcement Learning Approach in Tensorflow
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Implementation of Graph Neural Network-based 3D Point Cloud Classification in PyTorch