Machine Learning · GitHub

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

[验证码识别-部署] This project is based on CNN+BLSTM+CTC to realize verificationtion. This projeccode identificat is only for deployment models.

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

This repo contains all of my TensorFlow tutorials

A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms

Omnipose: a high-precision solution for morphology-independent cell segmentation

:heart::coffee: Deep Learning of Binary Hash Codes for Fast Image Retrieval (CVPRW15)

Extracts human motion in video and save it as bvh mocap file.

Pure Rust implementation of a minimal Generative Pretrained Transformer

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

ONNX Runtime Server: The ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference.

pg_onnx: ONNX Runtime integrated with PostgreSQL. Perform ML inference with data in your database.

This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)

Automatic ML data lineage tracking — zero manual logging

基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks