Machine Learning · GitHub

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

KoRean based BERT pre-trained models (KR-BERT) for Tensorflow and PyTorch

pytorch and cifar10

The Official Repository of Deep Learning for Finance

Data Science and Machine Learning Bootcamp. (Jun - 2026)

Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding

TensorFlow implemenation of GRu4Rec model

Pytorch implementation of BigVSAN

Pytorch implementation of Tacotron

🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

Interactive AI training simuation

Neural Code Comprehension: A Learnable Representation of Code Semantics

Time Series Prediction with LSTM Using PyTorch

Speedml is a Python package to speed start machine learning projects.

PyTorch implementation of char-rnn (character-level language model)

use pytorch to do image classfiication tasks

"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022

SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs

一个基于HuggingFace开发的大语言模型训练、测试工具。支持各模型的webui、终端预测，低参数量及全参数模型训练(预训练、SFT、RM、PPO、DPO)和融合、量化。

a categorical deep learning compiler

Independent PyTorch implementation of Scene Representation Transformer

Starter projects for machine learning

Automatic Number (License) Plate Recognition using Tensorflow Object Detection API