7427 Open source projects that are alternatives of or similar to Neural Network From Scratch

My Attempt(s) In The World Of ML/DL....

Koç University deep learning framework.

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Books, papers and links to latest research in ML/AI

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Simple neural networks based only on Numpy

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Machine Learning for High Energy Physics.

Machine learning with scikit-learn tutorial at PyData Chicago 2016

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Achieve your marketing goals with the data analytics power of Python

Machine Learning notebooks for refreshing concepts.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Natural Language Processing Tutorial for Deep Learning Researchers

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

공공데이터 분석

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

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numsca is numpy for scala

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

Technical Analysis Library using Pandas and Numpy

RadIO is a library for data science research of computed tomography imaging

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All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Tutorials for the Astropy Project

This is Andrew NG Coursera Handwritten Notes.

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).

Deep learning codes and projects using Python

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Tutorial: Web scraping in Python with Beautiful Soup

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects