Laxminarayen's repositories

Datascience-Batch-22

I will use this repository to update my slides and class notes

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Inceptez-Batch-17

This is the repository which I will use to share all my class works

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Deep-learning-NLP-batch15

This is the repository used to update the classworks and notebooks for batch 15

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Inceptez-DS-Batch20

This is the repository in which I will publish the notes I use in class!

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OBL-Solution

This is the Solution that won the econd prize for the Orient Bell HAckathon conducted by Skillenza

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Winfluentials_Batch_2

I will upload all the notebooks I use to teach in class here in this repository

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AI-Engineering

Self Learning

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aws-cli

Universal Command Line Interface for Amazon Web Services

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complete-cpp-developer-course

Code files for The Complete C++ Developer Course

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coreference-resolution-allenNLP

Coreference Resolution

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Data-science

Collection of useful data science topics along with code and articles

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Flask_demo

This is a code I use to demo flask app in inceptez

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pytorch-deep-learning

PyTorch for Deep Learning: Zero to Mastery course.

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SSN-FDE

Hello guys, I will be sharing the notebook

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comet-commonsense

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

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CronKGQA

ACL 2021: Question Answering over Temporal Knowledge Graphs

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diamond_price_streamlit_prototype_app

Simple demonstration of building a frontend for machine learning models using Streamlit

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machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接

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mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

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NSE-Data

I have the NSE csv data uploaded in this folder

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samples-server

MDN samples server; used for samples that can't be hosted in-place on MDN, plus back-end server-side code for samples that need it.

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Test_Inceptez_batch_16

The test folders

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ZTM-DS-and-Algo-Python

Contains all the code samples from the Zero to Mastery : Master the Coding Interview - Data Structures + Algorithms course by Andrei Neagoie, in Python.

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