silentsaber

silentsaber's Stars

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python65.7k2771.6k8.1k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.2k3081.4k2.6k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.2k995481.1k

• Tohrusky/Final2x

  2^x Image Super-Resolution

  Language:TypeScript5.8k3756459

• lucidrains/x-transformers

  A concise but complete full-attention transformer with a set of promising experimental features from various papers

  Language:Python4.8k54228417

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.6k12930489

• microsoft/torchscale

  Foundation Architecture for (M)LLMs

  Language:Python3k4779206

• VainF/Torch-Pruning

  [CVPR 2023] DepGraph: Towards Any Structural Pruning

  Language:Python2.7k37359334

• johnma2006/mamba-minimal

  Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

  Language:Python2.6k2427191

• yuweihao/MambaOut

  MambaOut: Do We Really Need Mamba for Vision?

  Language:Python2k824434

• alxndrTL/mamba.py

  A simple and efficient Mamba implementation in pure PyTorch and MLX.

  Language:Python1k74493

• iqiukp/ZoomPlot-MATLAB

  MATLAB Code for Interactive Magnification of Customized Regions.

  Language:MATLAB3435657

• qitianwu/DIFFormer

  The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

  Language:Python298111532

• daerduoCarey/PyTorchEMD

  PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression

  Language:Cuda28861856

• astrofrog/fast-histogram

  :zap: Fast 1D and 2D histogram functions in Python :zap:

  Language:C266193728

• scikit-signal/tftb

  A Python module for time-frequency analysis

  Language:Python262174657

• ml31415/numpy-groupies

  Optimised tools for group-indexing operations: aggregated sum and more

  Language:Python196105920

• alexzhou907/DDBM

  Language:Python162121416

• meder411/PyTorch-EMDLoss

  PyTorch 1.0 implementation of the approximate Earth Mover's Distance

  Language:Cuda13651013

• wzjialang/MCLDNN

  [IEEE-WCL] A Spatiotemporal Multi-Channel Learning Framework for Automatic Modulation Recognition

  Language:Python881310

• dl19940602/GCnet-pytorch

  This is a pytorch type of block，including Non-local block，Simple Non-local block，GC block and all GC block; refer to paper《GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond》

  Language:Python811121

• remifan/commplax

  A Python DSP framework for optical communications, accelerated in CPU/GPU, differentiate, vectorize, and more, powered by JAX.

  Language:Python592113

• shwangtangjun/Diff-ResNet

  PyTorch code for Diffusion Mechanism in Neural Network: Theory and Applications

  Language:Python37216

• tunakasif/torch-frft

  PyTorch implementation of the fractional Fourier transform with trainable transform order.

  Language:Python312120

• kit-cel/vae-equalizer

  This repo provides an implementation of a Variational Autoencoder (VAE) based equalizer. This includes a simulation environment with an AWGN channel and a linear optical dual-polaization channel. Additionally, state-of-the-art equalizers are implemented as reference.

  Language:Python27104

• DTMB-DL/TransGroupNet

  The Pytorch implement of the paper "Convolutional Neural Network Assisted Transformer for Automatic Modulation Recognition under Large CFOs and SROs"

  Language:Python21101

• xtyangpsp/StackMaster

  A collection of methods for data stacking

  Language:Jupyter Notebook20636

• jcz111/AvgNet

  AvgNet: Adaptive Visibility Graph Neural Network and It’s Application in Modulation Classification

  Language:Python18131

• luigir86/DOST-DCST-Stockwell-Transform

  This code allows the computation of the discrete orthonormal Stockwell transform (DOST) and the discrete cosine Stockwell transform (DCST) in 1D and 2D. The implemented algorithm is FFT-fast.

  Language:MATLAB14112

• koc-lab/FrFNet

  The repository of the Fractional Fourier Transform Meets Transformer Encoder paper in IEEE Signal Processing Letters

  Language:Python10102