A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
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Updated
Jul 28, 2024 - Python
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
This project aims to develop a system for automatically extracting emotion-cause pairs from conversational data, enhancing dialogue systems and mental health support through deeper understanding of emotional triggers.
The prominent cases about neural network based on PyTorch.
this repo contains MATLAB code , and datasets used for our bachelor project about pump impeller trimming using neural networks
EIT-EBM
An API for nerual network design based on C (developing)
This is a repository which serve for developing deep learning
Librería para simular pronósticos de Cambio Climático en embalses
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
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