機械学習 · GitHub

[MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".

Official PyTorch implementation of "Expressive Whole-Body 3D Gaussian Avatar", ECCV 2024.

Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020

A machine learning course using Python, Jupyter Notebooks, and OpenML

machine learning for artists

Classify music genre from a 10 second sound stream using a Neural Network.

Accurate and fast classification losses for SDCA and neural networks: cross-entropy, top-k, multiclass and multilabel SVM, and distillation losses for PyTorch, JAX, NumPy, Rust, C/C++ and MATLAB

MLPerf® Storage Benchmark Suite

MLDB is the Machine Learning Database

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

SDK libraries for Modal

[ICLR 2026] GRAPE: Group Representational Position Encoding (https://arxiv.org/abs/2512.07805)

• Scalability: Efficient training procedures optimized for large-scale datasets and multi-GPU setups.
• Flexible Data Support: Compatible with popular datasets like Fineweb-Edu-100B and OpenWebText.

Reversi reinforcement learning by AlphaGo Zero methods.