ZK-Zhou

ZK-Zhou's Stars

• PKU-YuanGroup/ChatLaw

  ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

  7k549

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  20.3k1.7k

• yfguo91/NeuroCLIP

  Language:Python8

• wangsr126/MAE-Lite

  Official implement for ICML2023 paper: "A Closer Look at Self-Supervised Lightweight Vision Transformers"

  Language:Python1199

• facebookresearch/ConvNeXt-V2

  Code release for ConvNeXt V2 model

  Language:Python1.6k120

• huawei-noah/VanillaNet

  Language:Python81956

• zysong0113/SAVC

  [CVPR 2023] Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning

  Language:Python668

• artidoro/qlora

  QLoRA: Efficient Finetuning of Quantized LLMs

  Language:Jupyter Notebook10.1k827

• CGuangyan-BIT/PointGPT

  [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds

  Language:Python20221

• zhouchenlin2096/Spikingformer

  Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network

  Language:Python865

• zhouchenlin2096/Spikingformer-CML

  Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation

  Language:Python382

• Zian-Xu/Swin-MAE

  Pytorch implementation of Swin MAE https://arxiv.org/abs/2212.13805

  Language:Python7516

• SHI-Labs/Compact-Transformers

  Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)

  Language:Python50880

• DirtyHarryLYL/LLM-in-Vision

  Recent LLM-based CV and related works. Welcome to comment/contribute!

  84936

• ma-xu/FCViT

  A Close Look at Spatial Modeling: From Attention to Convolution

  Language:Python915

• zhangxiaosong18/hivit

  Language:Jupyter Notebook582

• fangwei123456/Parallel-Spiking-Neuron

  Language:Python474

• Intelligent-Computing-Lab-Yale/SNNCKA

  Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)

  Language:Python122

• apple/ml-cvnets

  CVNets: A library for training computer vision networks

  Language:Python1.8k233

• fangwei123456/Spike-Element-Wise-ResNet

  Deep Residual Learning in Spiking Neural Networks

  Language:Python15620

• mit-han-lab/efficientvit

  Efficient vision foundation models for high-resolution generation and perception.

  Language:Python2.5k201

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook48.4k5.7k

• BlinkDL/RWKV-LM

  RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

  Language:Python13k880

• huawei-noah/Efficient-Computing

  Efficient computing methods developed by Huawei Noah's Ark Lab

  Language:Jupyter Notebook1.2k212

• Alpha-VL/ConvMAE

  ConvMAE: Masked Convolution Meets Masked Autoencoders

  Language:Python49042

• keyu-tian/SparK

  [ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

  Language:Python1.5k87

• ZK-Zhou/spikformer

  ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer

  Language:Python29847

• lxtGH/CAE

  This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

  Language:Python19322

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.9k7.5k

• hustvl/MIMDet

  [ICCV 2023] You Only Look at One Partial Sequence

  Language:Python33730