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機械学習 · GitHub

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spec_augment

zcaceres

501スター

🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

機械学習Jupyter NotebookMITGitHub

DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books

zcakhaa

622スター

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

機械学習Jupyter NotebookGitHub

pdmd

ZeamoxWang

94スター
pdmd preview

Official Training and Benchmarking Implementation of PDMD: Projected Distribution Matching Distillation for Video Diffusion Models

機械学習PythonGitHub

scirex

zenteiq-research

18スター
scirex preview

JAX/Flax neural operators for scientific machine learning, with benchmarks and pretrained weights.

機械学習PythonLGPL-3.0GitHub

realtime-semantic-segmentation-pytorch

zh320

270スター
realtime-semantic-segmentation-pytorch preview

PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distributed training, Optuna etc.

機械学習PythonApache-2.0GitHub

TextMatch

zhaogaofeng611

794スター

基于Pytorch的，中文语义相似度匹配模型（ABCNN、Albert、Bert、BIMPM、DecomposableAttention、DistilBert、ESIM、RE2、Roberta、SiaGRU、XlNet）

機械学習PythonGitHub

DRL-for-Path-Planning

zhaohaojie1998

604スター

深度强化学习路径规划, SAC路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真，Adaptive-SAC

機械学習PythonGitHub

Turbo-Learning

zhaozhen2333

30スター
Turbo-Learning preview

Official implementation of “A Turbo-Inference Strategy for Object Detection and Instance Segmentation” (CVIU 2026). A training-free framework for iterative refinement between object detection and instance segmentation.

  • No retraining: all refinement happens during inference.
  • Plug-and-play: the shared MaskBoxRefiner module is configurable from the RoI head.
機械学習PythonApache-2.0GitHub

Uformer

ZhendongWang6

950スター
Uformer preview

[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

機械学習PythonMITGitHub