TheUnsolvedDev/JaxStormer

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Language
Python
License
MIT License
Created over 1 year ago
Updated 8 months ago

TheUnsolvedDev/JaxStormer

TheUnsolvedDev

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Welcome to the JAX Machine Learning Practice repository! This repository contains practice code for implementing various machine learning algorithms using JAX, a numerical computing library that provides automatic differentiation and GPU/TPU acceleration.

Quadruped-Robot

Quadruped Robot – It is a four-legged walking robot that is a bionic replica of a spider (Arachnid species) that uses its legs for movement and can perform some tasks either by human interaction or on its own.

Machine-Learning-and-Deep-Learning

A repository comprising the algorithms of Machine Learning implemented on tensorflow 2 with keras and many other special machine learning libraries.

CUDA_NN_FS

creating a personal neural network library in cuda by as a learning stage side by side project

Machine-Learning-with-Tensorflow-2

This repository provides a basic understanding of the popular machine learning topics applied from scratch using Tensorflow 2

Jupyter Notebook

Sentiment-Analysis-With-Multi-Domain-Adaptation

Multi domain adaption of quick sentiment analysis on mutliple catagories of task like classification of the nature of the reviews regrading various objects found in Amazon website

ReinforcementLearning

Repository containing basic algorithm applied in python.

Jupyter Notebook

ProbabilisticMadness

Statistics and Machine Learning in depth analysis with Tensorflow Probability

Soft-Exponential-Activation-Function-Implementation-

Implementation of parameterized soft-exponential activation function.

Cross-Component-Linear-Model-Prediction

TensorflowML

contains codes of Machine Learning, Deep learning and Reinforcement learning applied in sort of scratch but mostly using this library

Jupyter Notebook

Music-Genre-Detection

This repository is mainly about the classification of music genres of Kaggle music dataset in various forms of data preparation

PytorchJourney

Basic Implementation of machine learning and deep learning algorithms in pytorch