機械学習 · GitHub

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

pytorch and cifar10

Chisel implementation of the NVIDIA Deep Learning Accelerator (NVDLA), with self-driving accelerated

The Official Repository of Deep Learning for Finance

The boundary of neural network trainability is fractal

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

Restoring ancient text using deep learning: a case study on Greek epigraphy.

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.

🕹️ A toolkit for document-level event extraction, containing some SOTA model implementations.

Audio transformations library for PyTorch

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

🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

Explore the energy-efficient dataflow scheduling for neural networks.