neural-network

This is Andrew NG Coursera Handwritten Notes.

💁‍♀️Your new best friend powered by an artificial neural network

A best practice for tensorflow project template architecture.

[CVPR2020] Adversarial Latent Autoencoders

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

An unnecessarily tiny implementation of GPT-2 in NumPy.

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Carefully curated resource links for data science in one place

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

a delightful machine learning tool that allows you to train, test, and use models without writing code

Machine learning glossary

This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.

Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

Deep Learning and deep reinforcement learning research papers and some codes