Shubham Sahoo (Shubham-Sahoo)

Shubham-Sahoo

Geek Repo

Location:Bengaluru, India

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Shubham Sahoo's repositories

Image_inpainting

"Region Filling and Object Removal by Exemplar-Based Image Inpainting" by Criminisi et al

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CUDA-Optimized-Centrality-Measure

CUDA optimized version of Page Rank and Betweenness Centrality Algorithms, tested on large graphs (Facebook, etc.)

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Operating-System

Implemented the basic components of Operating Systems and shell scripting

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SLAM

Monocular SLAM basic algorithm implementation

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100-nlp-papers

100 Must-Read NLP Papers

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Embedded_systems

Assembly Code for 8051 Microprocessor, simulated on Edsim platform

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awesome-ai-residency

List of AI Residency Programs

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DRAMSim2

DRAMSim2: A cycle accurate DRAM simulator

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mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

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MTP

Masters Thesis Project at IIT Kharagpur

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openvino

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

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personal-website_feat

Code that'll help you kickstart a personal website that showcases your work as a software developer.

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project-based-learning

Curated list of project-based tutorials

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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ramulator

A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the IEEE CAL 2015 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf

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Reverse-Engineering-Tutorial

A FREE comprehensive reverse engineering course covering x86, x64, 32-bit ARM & 64-bit ARM architectures.

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shubham-sahoo

Readme for profile

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speedchallenge

The comma.ai Speed Prediction Challenge!

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Trading-Interview-Questions

Guide on how to prepare for quant trading roles out of college

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TradingGym

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

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VANETTutorials

Tutorials for VANET YouTube Series (OMNET++, INET, and VEINs)

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