niklaust's repositories

AI-For-Beginners

12 Weeks, 24 Lessons, AI for All!

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Analyzing_Academy_Award_Nominated_Films

Analyzing Academy Award-Nominated Films for Best Picture using Data Science: A Descriptive Analysis of Genre, Rating, Gross,followed by Text-Based Clustering

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aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

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beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

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Data_Science

Data Science

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Statistics

This is an old school statistics

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blueprints-text

Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"

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courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

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deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning

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deeplearning4j-docs

Documentation for Deeplearning4j - Deep Learning for the JVM, Java & Scala

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deeplearning4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

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langchain

⚡ Building applications with LLMs through composability ⚡

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Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

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MBTI_16_PF_with_Cogitive_Function

This is my first ever programme. It is about personality test.

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Niklaust

Config files for my GitHub profile.

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practical-nlp-code

Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media

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pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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pyphi

A toolbox for integrated information theory.

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Python

This is my notebook to study python

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ThinkDSP

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

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TUM_RCI

Lecture Notes for Robotics, Cognition, Intelligence @ TUM

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