neural-network

🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

A flexible, high-performance serving system for machine learning models

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Code for Tensorflow Machine Learning Cookbook

header only, dependency-free deep learning framework in C++14

Gorgonia is a library that helps facilitate machine learning in Go.

A flexible framework of neural networks for deep learning

Gluon CV Toolkit

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Publication-ready NN-architecture schematics.

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Supercharge Your Model Training

Rust bindings for the C++ api of PyTorch.

A C++ standalone library for machine learning

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

On-device AI across mobile, embedded and edge for PyTorch

An Engine-Agnostic Deep Learning Framework in Java