An API for nerual network design based on C (developing)

Librería para simular pronósticos de Cambio Climático en embalses

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

The prominent cases about neural network based on PyTorch.

Study of using Neural Networks and Python TensorflowKeras.

neural network to recognize handwritten digits

A neural networks called Closed-form continuous-time learned from Nature for stock prediction

tensorflow based CNN trained on cifar-10 dataset for classification with 90% validation and 89.3% test accuracy

Simple neural network and automatic differentiation implementation

机器学习算法实现及实战

Vstream - Video Analytics pipeline with Hardware based accelerations (dev - stage)

Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.

Tiny C++11 GPT-2 inference implementation from scratch

Courses

Welcome to the Python repository, your one-stop destination for all things Python! 🚀

This library is designed to generate visualizations of neural networks by analyzing PyTorch code. Unlike conventional methods, our approach eliminates the need for large parameter files (pth) or specific input formats. With minimal AI knowledge, users can leverage this tool to create visualizations that aid in understanding complex networks.

Generating unit test by sequence-to-sequence model.

Code of "Model-based holographic network for 3D particle imaging", IEEE Transactions on Computational Imaging, 2021.

A neural network written in Go