Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*

Overview

Optimized-Path-Analysis-for-an-Underground-Cave-System-3D-Maze-

Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*. The algorithm was extremely optimal running in ~15s to ~30s for search spaces as big as 10000000 nodes where a set of 18 actions could be performed at each node in the 3D Maze.

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An implementation of paper `Real-time Convolutional Neural Networks for Emotion and Gender Classification` with PaddlePaddle.

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This code is part of the reproducibility package for the SANER 2022 paper "Generating Clarifying Questions for Query Refinement in Source Code Search".

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HiFT: Hierarchical Feature Transformer for Aerial Tracking (ICCV2021)

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AQP is a modular pipeline built to enable the comparison and testing of different quality metric configurations.

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Self-Supervised Speech Pre-training and Representation Learning Toolkit.

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Paper: De-rendering Stylized Texts

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This repository contains the code for: RerrFact model for SciVer shared task

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FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation

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SimpleDepthEstimation - An unified codebase for NN-based monocular depth estimation methods

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Official code for 'Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentationon Complex Urban Driving Scenes'

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Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation

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[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

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This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described in the paper.

Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation This repository contains PyTorch evaluation code, trainin

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The Submission for SIMMC 2.0 Challenge 2021

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Python scripts for performing road segemtnation and car detection using the HybridNets multitask model in ONNX.

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