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*

Last update: Mar 28, 2022

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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Distributionally robust neural networks for group shifts

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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*

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Overview

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

Owner

Distributionally robust neural networks for group shifts

A pure PyTorch batched computation implementation of "CIF: Continuous Integrate-and-Fire for End-to-End Speech Recognition"

Thermal Control of Laser Powder Bed Fusion using Deep Reinforcement Learning

Try out deep learning models online on Google Colab

Python interface for SmartRF Sniffer 2 Firmware

《Lerning n Intrinsic Grment Spce for Interctive Authoring of Grment Animtion》

Recurrent Conditional Query Learning

minimizer-space de Bruijn graphs (mdBG) for whole genome assembly

An implementation for the loss function proposed in Decoupled Contrastive Loss paper.

StorSeismic: An approach to pre-train a neural network to store seismic data features

Clinica is a software platform for clinical research studies involving patients with neurological and psychiatric diseases and the acquisition of multimodal data

Computer-Vision-Paper-Reviews - Computer Vision Paper Reviews with Key Summary along Papers & Codes

Code for our paper "SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization", ACL 2021

Code for the paper "Curriculum Dropout", ICCV 2017

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Instance-conditional Knowledge Distillation for Object Detection

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E2EDNA2 - An automated pipeline for simulation of DNA aptamers complexed with small molecules and short peptides

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"