Orient94

Orient94's Stars

• aladdinpersson/Machine-Learning-Collection

  A resource for learning about Machine learning & Deep Learning

  Language:Python7.7k2.7k

• bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets

  Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

  Language:Python1.9k347

• ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing

  A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

  Language:TeX46153

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.3k4.8k

• ecmwf-lab/ai-models-panguweather

  Language:Python9229

• Bob05757/Renewable-energy-generation-input-feature-variables-analysis

  Language:Jupyter Notebook419

• eracah/hur-detect

  Deep Semi-Supervised Object Detection for Extreme Weather Events

  Language:Jupyter Notebook5722

• vincen-github/mlimpl

  This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding to related model and algorithm or revise it to get the customized code belongs yourself by referring to this repository.

  Language:Shell395106

• wflying000/seq2seq_with_attention

  Language:Python12

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

  Language:HTML10.6k1.1k

• microsoft/LMOps

  General technology for enabling AI capabilities w/ LLMs and MLLMs

  Language:Python3.7k282

• ChatGPTNextWeb/ChatGPT-Next-Web

  A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

  Language:TypeScript76.7k59.2k

• he-y/Awesome-Pruning

  A curated list of neural network pruning resources.

  2.4k331

• zlxy9892/ST-CausalConvNet

  A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.

  Language:Python3511

• alibaba/TinyNeuralNetwork

  TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.

  Language:Python753116

• PaddlePaddle/PaddleSlim

  PaddleSlim is an open-source library for deep model compression and architecture search.

  Language:Python1.6k345

• quic/aimet

  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

  Language:Python2.1k383

• microsoft/nni

  An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  Language:Python14.1k1.8k

• THU-MIG/torch-model-compression

  针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

  Language:Python24440

• j-marple-dev/model_compression

  PyTorch Model Compression

  Language:Python22925

• open-mmlab/mmrazor

  OpenMMLab Model Compression Toolbox and Benchmark.

  Language:Python1.5k228

• 666DZY666/micronet

  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

  Language:Python2.2k479

• Tencent/PocketFlow

  An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

  Language:Python2.8k491

• tommyMessi/crnn_ctc-centerloss

  ctcloss + centerloss crnn text recognition

  Language:Python19947

• ko-nlp/Korpora

  Korean corpus repository

  Language:Python69880

• MingSun-Tse/Efficient-Deep-Learning

  Collection of recent methods on (deep) neural network compression and acceleration.

  930132

• alvinwan/shiftresnet-cifar

  ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

  Language:Python14028

• lavendelion/YOLOv1-from-scratch

  YOLOv1-from-scratch

  Language:Python4918

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python23.2k8k

• thuml/predrnn-pytorch

  Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

  Language:Python449113