新芽式的考核（新芽训练营、大组保研）均需采用 Jittor 复现代码。本 Repo 收集整理一些目前已有的 Jittor 开源代码，从而可以方便正在接受考核的同学尽量避免重复实现已有 Jittor 代码的工作。需要注意的是，本 Repo 收集的并不全面，对于具体工作，还请更大范围搜索后再判定是否适合作为考核选题。
更新日期：2025.8.11
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2017 | ICCV | DCN | Deformable Convolutional Networks | https://github.com/x-y20/jittor-dcn | 保研 |
| 2021 | ICCV | Swin Transformer | Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows | https://github.com/Miaehal/jt_pytorch_swin | 保研 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2016 | ECCV | LWF | Learning Without Forgetting | https://github.com/kira9339/jittor_lwf | 新芽 |
| 2018 | CVPR | PackNet | PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning | https://github.com/Fun-James/PackNet-Jittor | 新芽 |
| 2022 | CVPR | L2P | Learning to Prompt for Continual Learning | https://github.com/paraliine/l2p-jittor | 保研 |
| 2022 | CVPR | L2P | Learning to Prompt for Continual Learning | https://github.com/chillybreeze-hao/l2p_jittor | 保研 |
| 2023 | NeurIPS | RanPAC | RanPAC: Random Projections and Pre-trained Models for Continual Learning | https://github.com/Fluoroantimonic-H/RanPAC-jittor | 保研 |
| 2025 | CVPR | MoAL | Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning | https://github.com/thirwave/MoalJt | 保研 |
| 2025 | CVPR | ResNet-50 | Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping | https://github.com/Sitaye/GDDSG-Jittor | 保研 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2021 | CVPR | LIIF | Learning Continuous Image Representation with Local Implicit Image Function | https://github.com/a1ei/liif_jittor | 保研 |
| 2021 | CVPR | LIIF | Learning Continuous Image Representation with Local Implicit Image Function | https://github.com/WindATree/LIIF-Jittor | 保研 |
| 2023 | CVPR | DNF | DNF: Decouple and Feedback Network for Seeing in the Dark | https://github.com/RRRRReus/DNF-Jittor-Reproduction | 保研 |
| 2022 | CVPR | Blind2Unblind | Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots | https://github.com/Qu-a-n/B2UwithJittor | 保研 |
| 2024 | TPAMI | Flow_PWC | Self-Supervised Deep Blind Video Super-Resolution | https://github.com/Athena-Re/Self-Blind-VSR-with-Jittor | 保研 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2020 | CVPR | HiSD | Fine-grained Portrait Attribute Editing | https://github.com/XLINYIN/HiSD-Jittor | 保研 |
| 2022 | CVPR | Imagen | Prompt-to-Prompt Image Editing with Cross-Attention Control | https://github.com/NJUST-wyx/20---prompt-to-prompt | 保研 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2020 | CVPR | SINet | Camouflaged Object Detection: From Method to Cognition | https://github.com/WUKEYINGING/Jittor-SINet-WKY | 保研 |
| 2021 | CVPR | PFNet | Camouflaged Object Segmentation With Distraction Mining | https://github.com/ejekess/PFNet_jittor | 保研 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2023 | Information Fusion | PSFusion | Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and scene fidelity | https://github.com/yzbcs/PSFusionJittor | 保研 |
| 2024 | ECAI | SFDFusion | SFDFusion: An Efficient Spatial-Frequency Domain Fusion Network for Infrared and Visible Image Fusion | https://github.com/yvxinn/SFDFusion_jittor | 新芽 |
| 2025 | CVPR | SelfGIFNet | One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion | https://github.com/Kallen6669/SelfGIFNet | 保研 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2015 | NeurIPS | Faster R-CNN | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks | https://github.com/arianna-h/exam_jittor | 保研 |
| 2015 | NeurIPS | Faster R-CNN | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks | https://github.com/wwiinndd/TwoStageDeteciton | 保研 |
| 2015 | NeurIPS | Faster R-CNN | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks | https://github.com/Holysmiles/faster_rcnn_jittor | 保研 |
| 2017 | CVPR | RetinaNet | Focal Loss for Dense Object Detection | https://github.com/Running-Turtle1/jittor-retinanet | 保研 |
| 2020 | ECCV | DETR | End-to-End Object Detection with Transformers | https://github.com/Ber0ton/DETR-Jittor-and-Pytorch/ | 保研 |
| 2021 | CVPR | GFL V2 | Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection | https://github.com/FuZhongyuan/GFocalV2 | 保研 |
| 2021 | GitHub开源社区 | NanoDet-Plus | https://github.com/RangiLyu/nanodet | https://github.com/kyc001/NanoDet | 新芽 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2015 | MICCAI | UNet | U-Net: Convolutional Networks for Biomedical Image Segmentation | https://github.com/xyt732/xyt | 保研 |
| 2020 | Neurocomputing | ResNet-50 | Revisiting Metric Learning for Few-Shot Image Classification | https://github.com/withernova/Revisiting_Metric_Learning_for_Few-Shot_Image_Classification/tree/ori_essay | 保研 |
| 2023 | ArXiv | FS-MedSAM2 | FS-MedSAM2: Exploring the Potential of SAM2 for Few-Shot Medical Image Segmentation without Fine-tuning | https://github.com/MasterAlphZero/JtToFSMedSAM2 | 保研 |
| 2023 | TIM | CPANet | Cross Position Aggregation Network for Few-shot Strip Steel Surface Defect Segmentation | https://github.com/ZSLsherly/CPANet-Pytorch-Jittor/tree/master/CPANet | 保研 |
| 2023 | TIM | CPANet | Cross Position Aggregation Network for Few-shot Strip Steel Surface Defect Segmentation | https://github.com/qsb2333/JittorForCPANet | |
| 2023 | MIDL | MedSegDiff | MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model | https://github.com/jarambler/MedSegDiff-Jittor | 保研 |
| 2023 | MIDL | MedSegDiff | MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model | https://github.com/XD-XXF/MedSegDiff-Jittor | 保研 |
| 2023 | ICCV | SCCAN | Self-Calibrated Cross Attention Network for Few-Shot Segmentation | https://github.com/AllenReder/SCCAN-jittor | 保研 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2021 | ICCV | DC-ShadowNet | DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network | https://github.com/Wang-Yi-Yu/Jittor_DC-ShadowNet | 新芽 |
| 2024 | CVPR | DAI-NET | Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation | https://github.com/HardenMYG/DAI-NET-jittor | 新芽 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2018 | CVPR | StarGAN | Multi-modal Image Generation | https://github.com/lkhup/StarGan-Jittor | 保研 |
| 2020 | CVPR | StarGAN v2 | StarGAN v2: Diverse Image Synthesis for Multiple Domains | https://github.com/SidneyLu/StarGAN2j | 新芽 |
| 2020 | CVPR | StarGAN v2 | Multi-modal Image Generation | https://github.com/fwp101/stargan-v2-jittor | 保研 |
| 2020 | NeurIPS | DDPM | Denoising Diffusion Probabilistic Models | https://github.com/renren1988/jittor_diffusion | 保研 |
| 2020 | NeurIPS | DDPM | Denoising Diffusion Probabilistic Models | https://github.com/zyxiang2004/JitNoise | 保研 |
| 2020 | NeurIPS | DDPM | Denoising Diffusion Probabilistic Models | https://github.com/IOTXDY/Pytorch-and-Jittor-Implementations-of-Denoising-Diffusion-Probabilistic-Models | 保研 |
| 2020 | NeurIPS | DDPM | Denoising Diffusion Probabilistic Models | https://github.com/linyuxin666666/LYX_DDPM | 保研 |
| 2021 | ICLR | DDIM | Denoising Diffusion Implicit Models | https://github.com/AprilS6/ddpm_ddim_with_jittor_pytorch | 保研 |
| 2021 | ICLR | DDIM | Denoising Diffusion Implicit Models | https://github.com/MoonKirito/Jittor-DDIM | 保研 |
| 2021 | ICLR | DDIM | Denoising Diffusion Implicit Models | https://github.com/hupeach/DDIM | 保研 |
| 2022 | CVPR | LDM | High-Resolution Image Synthesis with Latent Diffusion Models | https://github.com/zhuhe3331/Jittor-LDM-MNIST | 保研 |
| 2022 | CVPR | LDM | High-Resolution Image Synthesis with Latent Diffusion Models | https://github.com/Hakurei-Reimu-Gensokyo/simple-ldm | 保研 |
| 2022 | NeurIPS | CFG | Classifier-Free Diffusion Guidance | https://github.com/Sunnet314159/CFG-Jittor | 保研 |
| 2024 | ICLR | SuppressEOT | Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models | https://github.com/PepaByte/SuppressEOT-Jittor | 新芽 |
| 2025 | ICLR | DiT-S/2 | One Step Diffusion via Shortcut Models | https://github.com/yoshimatsuu/shortcut-models-jittor | 保研 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2019 | arxiv | LoRA on DistilBERT | DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter | https://github.com/github-haoyan/github-haoyan | 保研 |
| 2022 | ICLR | LoRA | LoRA: Low-Rank Adaptation of Large Language Models | https://github.com/thereflection84/GPT2_LoRA_Jittor | 保研 |
| 2022 | ICLR | LoRA | LoRA: Low-Rank Adaptation of Large Language Models | https://github.com/waywooKwong/LoRA-Jittor | 保研 |
| 2022 | ICLR | LoRA | LoRA: Low-Rank Adaptation of Large Language Models | https://github.com/Estella999/LoRA-jittor | 保研 |
| 2023 | arXiv | LLaMA | LLaMA: Open and Efficient Foundation Language Models | https://github.com/Hanrong-li/llama_jittor/tree/master | 保研 |
| 2023 | ICLR | ReAct | ReAct: Synergizing Reasoning and Acting in Language Models | https://github.com/peichenxi77/React | 保研 |
| 2023 | ICLR | ReAct | ReAct**:** Synergizing Reasoning and Acting in Language Models | https://github.com/August-Liu2004/ReAct-Jittor | 保研 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2022 | ICLR | LoRA | LoRA: Low-Rank Adaptation of Large Language Models | https://github.com/zhenrys/LoRA-GPT2-E2E-pytorch-jittor/tree/master/by-jittor/NLG/src | 保研 |
| 2019 | Open Ai 博客 | GPT2 | Language Models are Unsupervised Multitask Learners | https://github.com/GsjResilient/lora_jittor | 保研 |
| 2023 | CVPR | EfficientViT | EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention | https://github.com/Scarlett19uyu/Efficientvitcls-jittor | 保研 |
| 2023 | ICLR | MoA | Vision-Language Large Models: Model Acceleration and Efficient Fine-tuning | https://github.com/MorningYin/MoA_Jittor | 保研 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2022 | TIP | UIUNet | UIU-Net: U-Net in U-Net for Infrared Small Object Detection | https://github.com/V-Ane/UIUNet | 保研 |
| 2023 | TIP | DNANet | Dense nested attention network for infrared small target detection | https://github.com/Sauruang/DNANet-Jittor-Implementation | 保研 |
| 2023 | TIP | DNANet | Dense Nested Attention Network for Infrared Small Target Detection | https://github.com/cicdean/Jittor-Implementation-of-DNANet | 保研 |
| 2023 | ICCV | LSKNet | Large Selective Kernel Network for Remote Sensing Object Detection | https://github.com/eptq00/JDet-Nanoputian | 保研 |
| 2024 | TGRS | L2SKNet | Saliency at the Helm: Steering Infrared Small Target Detection with Learnable Kernels | https://github.com/Yejiaxuan/L2SKNet-Jittor | 保研 |
| 2024 | CVPR | MSHNet | Infrared Small Target Detection with Scale and Location Sensitivity | https://github.com/Hareplace/MSHNet_jittor | 保研 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2023 | AAAI | DMANet | Dual Memory Aggregation Network for Event-based Object Detection with Learnable Representation | https://github.com/DayDayupupu/DMANet_jittor | 保研 |
| 2023 | AAAI | DMANet | Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation | https://github.com/Yuyciciccc/DMANet-Jittor | 保研 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2021 | CVPR | RepVGG | RepVGG: Making VGG-style ConvNets Great Again | https://github.com/NeikuiColacat/RepVGG-Jittor-CIFAR100 | 保研 |
| 2022 | NeurIPS | DKD | Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation | https://github.com/xp-nb/Jittor_DKD | 保研 |
| 2022 | CVPR | DKD | Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation | https://github.com/Envy6163/DKD-Jittor.git | 保研 |
| 2022 | ICLR | Lora | Lora: Low-rank adaptation of large language models | https://github.com/xuzhichen139/LoRA-in-Jittor | 新芽 |
| Year | Venue | Model | Document Title | 代码地址 | 事由 |
|---|---|---|---|---|---|
| 2025 | ICCV | ATPrompt | Advancing Textual Prompt Learning with Anchored Attributes | https://github.com/StarryAnastasius/Jittor_ATPrompt | 新芽 |