DeepSparkHub甄选上百个应用算法和模型,覆盖AI和通用计算各领域,支持主流市场智能计算场景,包括智慧城市、数字个人、医疗、教 育、通信、能源等多个领域。
Model | Framework | ToolBox | Dataset/Weight | IXUCA SDK |
---|---|---|---|---|
Aquila2-34B | PyTorch | Megatron-DeepSpeed | Bookcorpus | 4.1.1 |
Baichuan2-7B | PyTorch | DeepSpeed | baichuan2-7b-base | 4.1.1 |
Bloom-7B1 | PyTorch | Firefly | school_math_0.25M | 4.1.1 |
ChatGLM-6B | PyTorch | DeepSpeed | ADGEN & chatglm-6b | 3.1.0 |
ChatGLM2-6B SFT | PyTorch | DeepSpeed | ADGEN & chatglm2-6b | 4.1.1 |
ChatGLM3-6B | PyTorch | DeepSpeed | ADGEN & chatglm3-6b | 4.1.1 |
DeepSeekMoE 7B | PyTorch | ColossalAI | deepseek-moe-16b-base | 4.1.1 |
Llama-7B | PyTorch | ColossalAI | llama-7b-hf | 3.1.0 |
Llama2-7B | PyTorch | Megatron-DeepSpeed | Bookcorpus | 3.1.0 |
Llama2-7B RMF | PyTorch | DeepSpeed | Dahoas/rm-static | 3.1.1 |
Llama2-7B RLHF | PyTorch | Megatron-DeepSpeed | llama2-7b&tiny-llama | 4.1.1 |
Llama2-7B SFT | PyTorch | Megatron-DeepSpeed | GPT Small-117M | 3.1.1 |
Llama2-13B | PyTorch | Megatron-DeepSpeed | Bookcorpus | 4.1.1 |
Llama2-34B | PyTorch | Megatron-DeepSpeed | Bookcorpus | 4.1.1 |
Llama3-8B | PyTorch | Megatron-DeepSpeed | Bookcorpus | 4.1.1 |
Llama3-8B SFT | PyTorch | ColossalAI | school_math_0.25M | 4.1.1 |
Mamba-2 | PyTorch | Megatron-LM | GPT Small-117M | 4.1.1 |
Mixtral 8x7B | PyTorch | Megatron-LM | GPT Small-117M | 4.1.1 |
QWen-7B | PyTorch | Firefly | qwen-7b | 4.1.1 |
QWen1.5-7B | PyTorch | Firefly | school_math | 4.1.1 |
QWen1.5-14B | PyTorch | Firefly | school_math | 4.1.1 |
Qwen2.5-7B SFT | PyTorch | LLaMA-Factory | qwen2.5-7b | 4.1.1 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
ACmix | PyTorch | ImageNet | 2.2.0 |
ACNet | PyTorch | ImageNet | 3.1.0 |
AlexNet | PyTorch | ImageNet | 2.2.0 |
AlexNet | TensorFlow | ImageNet | 3.1.0 |
BYOL | PyTorch | ImageNet | 3.1.0 |
CBAM | PyTorch | ImageNet | 3.0.0 |
ConvNext | PyTorch | ImageNet | 2.2.0 |
CspDarknet53 | PyTorch | ImageNet | 3.0.0 |
DenseNet | PaddlePaddle | ImageNet | 3.1.0 |
DenseNet | PyTorch | ImageNet | 2.2.0 |
DPN92 | PyTorch | ImageNet | 2.2.0 |
DPN107 | PyTorch | ImageNet | 2.2.0 |
ECA-MobileNetV2 | PyTorch | ImageNet | 2.2.0 |
ECA-ResNet152 | PyTorch | ImageNet | 2.2.0 |
EfficientNetB0 | PaddlePaddle | ImageNet | 3.1.0 |
EfficientNetB4 | PyTorch | ImageNet | 2.2.0 |
FasterNet | PyTorch | ImageNet | 3.0.0 |
GoogLeNet | PyTorch | ImageNet | 2.2.0 |
GoogLeNet | PaddlePaddle | ImageNet | 2.3.0 |
InceptionV3 | MindSpore | ImageNet | 3.1.0 |
InceptionV3 | PyTorch | ImageNet | 2.2.0 |
InceptionV3 | TensorFlow | ImageNet | 3.1.0 |
InceptionV4 | PyTorch | ImageNet | 2.2.0 |
InternImage | PyTorch | ImageNet | 3.1.0 |
LeNet | PyTorch | ImageNet | 2.2.0 |
MobileNetV2 | PyTorch | ImageNet | 2.2.0 |
MobileNetV3 | MindSpore | ImageNet | 3.1.0 |
MobileNetV3 | PyTorch | ImageNet | 2.2.0 |
MobileNetV3 | PaddlePaddle | ImageNet | 2.3.0 |
MobileNetV3_Large1.0 | PaddlePaddle | ImageNet | 3.1.0 |
MobileOne | PyTorch | ImageNet | 3.1.0 |
MoCoV2 | PyTorch | ImageNet | 3.1.0 |
PP-LCNet | PaddlePaddle | ImageNet | 3.1.0 |
RepMLP | PyTorch | ImageNet | 3.1.0 |
RepVGG | PyTorch | ImageNet | 3.0.0 |
RepVGG | PaddlePaddle | ImageNet | 3.0.0 |
RepViT | PyTorch | ImageNet | 3.1.0 |
Res2Net50_14w_8s | PaddlePaddle | ImageNet | 3.1.0 |
ResNeSt14 | PyTorch | ImageNet | 2.2.0 |
ResNeSt50 | PyTorch | ImageNet | 2.2.0 |
ResNeSt50 | PaddlePaddle | ImageNet | 3.0.0 |
ResNeSt101 | PyTorch | ImageNet | 2.2.0 |
ResNeSt269 | PyTorch | ImageNet | 2.2.0 |
ResNet18 | PyTorch | ImageNet | 2.2.0 |
ResNet50 | PyTorch | ImageNet | 2.2.0 |
ResNet50 | PaddlePaddle | ImageNet | 2.3.0 |
ResNet50 | TensorFlow | ImageNet | 3.0.0 |
ResNet101 | PyTorch | ImageNet | 2.2.0 |
ResNet152 | PyTorch | ImageNet | 2.2.0 |
ResNeXt50_32x4d | MindSpore | ImageNet | 3.1.0 |
ResNeXt50_32x4d | PyTorch | ImageNet | 2.2.0 |
ResNeXt101_32x8d | PyTorch | ImageNet | 2.2.0 |
SE_ResNet50_vd | PaddlePaddle | ImageNet | 3.1.0 |
SEResNeXt | PyTorch | ImageNet | 2.2.0 |
ShuffleNetV2 | PaddlePaddle | ImageNet | 3.1.0 |
ShuffleNetV2 | PyTorch | ImageNet | 2.2.0 |
SqueezeNet | PyTorch | ImageNet | 2.2.0 |
Swin Transformer | PaddlePaddle | ImageNet | 3.0.0 |
Swin Transformer | PyTorch | ImageNet | 2.2.0 |
VGG16 | PaddlePaddle | ImageNet | 2.3.0 |
VGG16 | PyTorch | ImageNet | 2.2.0 |
VGG16 | TensorFlow | ImageNet | 3.1.0 |
Wave-MLP | PyTorch | ImageNet | 2.2.0 |
Wide_ResNet101_2 | PyTorch | ImageNet | 2.2.0 |
Xception | PaddlePaddle | ImageNet | 3.1.0 |
Xception | PyTorch | ImageNet | 2.2.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
RetinaFace | PyTorch | WIDER FACE | 3.0.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
ArcFace | PyTorch | CASIA-WebFaces&LFW | 3.0.0 |
BlazeFace | PaddlePaddle | WIDER FACE | 3.1.0 |
CosFace | PyTorch | CASIA-WebFaces&LFW | 3.0.0 |
FaceNet | PyTorch | CASIA-WebFaces&LFW | 3.0.0 |
FaceNet | TensorFlow | CASIA-WebFaces&LFW | 3.1.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
SOLO | PyTorch | COCO | 3.0.0 |
SOLOv2 | PaddlePaddle | COCO | 3.0.0 |
SOLOv2 | PyTorch | COCO | 3.1.0 |
YOLACT++ | PyTorch | COCO | 3.0.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
DCGAN | MindSpore | ImageNet | 3.0.0 |
Pix2Pix | PaddlePaddle | facades | 3.1.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
CWD | PyTorch | Cityscapes | 3.0.0 |
RKD | PyTorch | CUB-200-2011 | 3.0.0 |
WSLD | PyTorch | ImageNet | 3.1.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
ATSS | PyTorch (MMDetection) | COCO | 3.0.0 |
AutoAssign | PyTorch | COCO | 2.2.0 |
Cascade R-CNN | PyTorch (MMDetection) | COCO | 3.0.0 |
CenterMask2 | PyTorch | COCO | 4.1.1 |
CenterNet | PyTorch | COCO | 2.2.0 |
CenterNet | PaddlePaddle | COCO | 3.0.0 |
Co-DETR | PyTorch | COCO | 3.1.0 |
CornerNet | PyTorch (MMDetection) | COCO | 3.0.0 |
DCNV2 | PyTorch (MMDetection) | COCO | 3.0.0 |
DETR | PaddlePaddle | COCO | 3.0.0 |
Faster R-CNN | PyTorch | COCO | 2.2.0 |
FCOS | PaddlePaddle | COCO | 3.0.0 |
FCOS | PyTorch | COCO | 3.0.0 |
Mamba-YOLO | PyTorch | COCO | 4.1.1 |
Mask R-CNN | PyTorch | COCO | 2.2.0 |
Mask R-CNN | PaddlePaddle | COCO | 2.3.0 |
OC_SORT | PaddlePaddle | MOT17 | 3.1.0 |
Oriented RepPoints | PyTorch | DOTA | 3.1.0 |
PP-PicoDet | PaddlePaddle | COCO | 3.1.0 |
PP-YOLOE | PaddlePaddle | COCO | 2.3.0 |
PP-YOLOE+ | PaddlePaddle | COCO | 3.1.1 |
PVANet | PyTorch | COCO | 2.2.0 |
RepPoints | PyTorch (MMDetection) | COCO | 3.0.0 |
RetinaNet | PyTorch | COCO | 2.2.0 |
RetinaNet | PaddlePaddle | COCO | 3.0.0 |
RT-DETR | PyTorch | COCO | 4.1.1 |
RTMDet | PyTorch | COCO | 3.1.0 |
SSD | PyTorch | COCO | 2.2.0 |
SSD | PaddlePaddle | COCO | 2.3.0 |
SSD | TensorFlow | VOC | 3.0.0 |
SSD | MindSpore | COCO | 3.0.0 |
YOLOF | PyTorch | COCO | 2.2.0 |
YOLOv3 | PyTorch | COCO | 2.2.0 |
YOLOv3 | PaddlePaddle | COCO | 2.3.0 |
YOLOv3 | TensorFlow | VOC | 3.0.0 |
YOLOv5 | PaddlePaddle | COCO | 3.1.1 |
YOLOv5 | PyTorch | COCO | 2.2.0 |
YOLOv6 | PyTorch | COCO | 3.0.0 |
YOLOv7 | PyTorch | COCO | 3.0.0 |
YOLOv8 | PyTorch | COCO | 3.0.0 |
YOLOv9 | PyTorch | COCO | 4.1.1 |
YOLOv10 | PyTorch | COCO | 4.1.1 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
BEVFormer | PyTorch | nuScenes&CAN bus | 3.0.0 |
CenterPoint | PyTorch | nuScenes | 3.1.1 |
PAConv | PyTorch | S3DIS | 3.1.1 |
Part-A2-Anchor | PyTorch | KITTI | 4.1.1 |
Part-A2-Free | PyTorch | KITTI | 4.1.1 |
PointNet++ | PyTorch | S3DIS | 3.0.0 |
PointPillars | PyTorch | KITTI | 3.0.0 |
PointRCNN | PyTorch | KITTI | 3.1.1 |
PointRCNN-IoU | PyTorch | KITTI | 4.1.1 |
SECOND | PyTorch | KITTI | 4.1.1 |
SECOND-IoU | PyTorch | KITTI | 4.1.1 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
HashNeRF | PyTorch | fox | 2.2.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
GAT | PaddlePaddle | CORA | 3.1.0 |
GCN | MindSpore | CORA & Citeseer | 3.0.0 |
GCN | PaddlePaddle | CORA & PubMed & Citeseer | 3.1.0 |
GraphSAGE | PaddlePaddle | 3.1.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
CRNN | MindSpore | OCR_Recog | 3.1.0 |
CRNN | PaddlePaddle | LMDB | 2.3.0 |
DBNet | PyTorch | ICDAR2015 | 3.0.0 |
DBNet++ | PaddlePaddle | ICDAR2015 | 3.1.1 |
DBNet++ | PyTorch | ICDAR2015 | 3.1.0 |
PP-OCR-DB | PaddlePaddle | ICDAR2015 | 2.3.0 |
PP-OCR-EAST | PaddlePaddle | ICDAR2015 | 3.1.1 |
PSE | PaddlePaddle | OCR_Recog | 2.3.0 |
SAR | PyTorch | OCR_Recog | 2.2.0 |
SAST | PaddlePaddle | ICDAR2015 | 3.1.1 |
SATRN | PyTorch | OCR_Recog | 2.2.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
Point-BERT | PyTorch | ShapeNet55 & processed ModelNet | 2.2.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
AlphaPose | PyTorch | COCO | 3.0.0 |
HRNet | PyTorch | COCO | 2.2.0 |
HRNet-W32 | PaddlePaddle | COCO | 3.1.0 |
OpenPose | MindSpore | COCO | 3.1.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
MAE | PyTorch | ImageNet | 3.0.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
3D-UNet | PyTorch | kits19 | 2.2.0 |
APCNet | PyTorch | Cityscapes | 2.2.0 |
Attention U-net | PyTorch | Cityscapes | 3.0.0 |
BiSeNet | PyTorch | COCO | 2.2.0 |
BiSeNetV2 | PaddlePaddle | Cityscapes | 3.0.0 |
BiSeNetV2 | PyTorch | Cityscapes | 3.1.1 |
CGNet | PyTorch | COCO | 2.2.0 |
ContextNet | PyTorch | COCO | 2.2.0 |
DabNet | PyTorch | COCO | 2.2.0 |
DANet | PyTorch | COCO | 2.2.0 |
DDRnet | PyTorch | Cityscapes | 3.0.0 |
DeepLabV3 | PyTorch | COCO | 2.2.0 |
DeepLabV3 | PaddlePaddle | Cityscapes | 2.3.0 |
DeepLabV3 | MindSpore | VOC | 3.0.0 |
DeepLabV3+ | PaddlePaddle | Cityscapes | 3.0.0 |
DeepLabV3+ | TensorFlow | Cityscapes | 3.1.0 |
DenseASPP | PyTorch | COCO | 2.2.0 |
DFANet | PyTorch | COCO | 2.2.0 |
DNLNet | PaddlePaddle | Cityscapes | 2.3.0 |
DUNet | PyTorch | COCO | 2.2.0 |
EncNet | PyTorch | COCO | 2.2.0 |
ENet | PyTorch | COCO | 2.2.0 |
ERFNet | PyTorch | COCO | 2.2.0 |
ESPNet | PyTorch | COCO | 2.2.0 |
FastFCN | PyTorch | ADE20K | 3.1.0 |
FastSCNN | PyTorch | COCO | 2.2.0 |
FCN | PyTorch | COCO | 2.2.0 |
FPENet | PyTorch | COCO | 2.2.0 |
GCNet | PyTorch | Cityscapes | 2.2.0 |
HardNet | PyTorch | COCO | 2.2.0 |
ICNet | PyTorch | COCO | 2.2.0 |
LedNet | PyTorch | COCO | 2.2.0 |
LinkNet | PyTorch | COCO | 2.2.0 |
Mask2Former | PyTorch | Cityscapes | 3.1.0 |
MobileSeg | PaddlePaddle | Cityscapes | 3.1.0 |
OCNet | PyTorch | COCO | 2.2.0 |
OCRNet | PaddlePaddle | Cityscapes | 3.1.0 |
OCRNet | PyTorch | Cityscapes | 2.2.0 |
PP-HumanSegV1 | PaddlePaddle | PP-HumanSeg14K | 3.1.0 |
PP-HumanSegV2 | PaddlePaddle | PP-HumanSeg14K | 3.1.0 |
PP-LiteSeg | PaddlePaddle | Cityscapes | 3.1.0 |
PSANet | PyTorch | COCO | 2.2.0 |
PSPNet | PyTorch | Cityscapes | 2.2.0 |
RefineNet | PyTorch | COCO | 2.2.0 |
SegNet | PyTorch | COCO | 2.2.0 |
STDC | PaddlePaddle | Cityscapes | 3.1.0 |
STDC | PyTorch | Cityscapes | 3.0.0 |
UNet | PyTorch | COCO | 2.2.0 |
UNet | PaddlePaddle | Cityscapes | 2.3.0 |
UNet++ | PyTorch | DRIVE | 3.0.0 |
VNet | TensorFlow | Hippocampus | 3.0.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
basicVSR++ | PyTorch | REDS | 2.2.0 |
basicVSR | PyTorch | REDS | 2.2.0 |
ESRGAN | PyTorch | DIV2K | 2.2.0 |
LIIF | PyTorch | DIV2K | 2.2.0 |
RealBasicVSR | PyTorch | REDS | 2.2.0 |
TTSR | PyTorch | CUFED | 2.2.0 |
TTVSR | PyTorch | REDS | 2.2.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
ByteTrack | PaddlePaddle | MOT17 | 3.1.0 |
DeepSORT | PyTorch | Market-1501 | 3.0.0 |
FairMOT | PyTorch | MOT17 | 2.2.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
BLIP | PyTorch | COCO | 3.1.1 |
CLIP | PyTorch | CIFAR100 | 2.2.0 |
ControlNet | PyTorch | Fill50K | 3.1.0 |
DDPM | PyTorch | CIFAR-10 | 3.1.0 |
LLaVA 1.5 | PyTorch | LLaVA-Pretrain | 4.1.1 |
L-Verse | PyTorch | ImageNet | 2.2.0 |
Stable Diffusion 1.4 | PyTorch | pokemon-images | 4.1.1 |
Stable Diffusion 1.5 | PyTorch | pokemon-images | 4.1.1 |
Stable Diffusion 2.1 | PyTorch | pokemon-images | 4.1.1 |
Stable Diffusion 3 | PyTorch | dog-example | 4.1.1 |
Stable Diffusion XL | PyTorch | pokemon-images | 4.1.1 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
GLM | PyTorch | GLMForMultiTokenCloze | 2.2.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
CPM | PyTorch | STC | 2.2.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
BART | PyTorch (Fairseq) | RTE | 3.0.0 |
BERT NER | PyTorch | CoNLL-2003 | 3.0.0 |
BERT Pretraining | PyTorch | MLCommon Wikipedia | 2.2.0 |
BERT Pretraining | PaddlePaddle | MNLI | 2.3.0 |
BERT Pretraining | TensorFlow | MNLI | 3.0.0 |
BERT Pretraining | MindSpore | SQuAD | 3.0.0 |
BERT Text Classification | PyTorch | GLUE | 3.0.0 |
BERT Text Summerization | PyTorch | cnn_dailymail | 3.0.0 |
BERT Question Answering | PyTorch | SQuAD | 3.0.0 |
GPT2-Medium-EN | PaddlePaddle | SST-2 | 3.1.0 |
RoBERTa | PyTorch (Fairseq) | RTE | 3.0.0 |
XLNet | PaddlePaddle | SST-2 | 3.1.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
ERNIE | PaddlePaddle | corpus | 2.3.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
Convolutional | PyTorch (Fairseq) | WMT14 | 3.0.0 |
T5 | PyTorch | WMT14 | 2.2.0 |
Transformer | PaddlePaddle | WMT14 | 2.3.0 |
Transformer | PyTorch (Fairseq) | IWSLT14 | 3.0.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
DQN | PaddlePaddle | CartPole-v0 | 3.1.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
Conformer | PyTorch (WeNet) | AISHELL | 2.2.0 |
Efficient Conformer v2 | PyTorch (WeNet) | AISHELL | 3.1.0 |
PP-ASR-Conformer | PaddlePaddle | AISHELL | 3.1.0 |
RNN-T | PyTorch | LJSpeech | 2.2.0 |
Transformer | PyTorch (WeNet) | AISHELL | 3.0.0 |
U2++ Conformer | PyTorch (WeNet) | AISHELL | 3.0.0 |
Unified Conformer | PyTorch (WeNet) | AISHELL | 3.0.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
PP-TTS-FastSpeech2 | PaddlePaddle | CSMSC | 3.1.0 |
PP-TTS-HiFiGAN | PaddlePaddle | CSMSC | 3.1.0 |
Tacotron2 | PyTorch | LJSpeech | 2.2.0 |
VQMIVC | PyTorch | VCTK-Corpus | 2.2.0 |
WaveGlow | PyTorch | LJSpeech | 2.2.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
Graph WaveNet | PyTorch | METR-LA & PEMS-BAY | 2.2.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
KAN | PyTorch | - | 4.1.1 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
Network Slimming | PyTorch | CIFAR-10/100 | 3.0.0 |
Model | Framework | Dataset | IXUCA SDK |
---|---|---|---|
DeepFM | PaddlePaddle | Criteo_Terabyte | 2.3.0 |
DLRM | PyTorch | Criteo_Terabyte | 2.2.0 |
DLRM | PaddlePaddle | Criteo_Terabyte | 3.1.0 |
FFM | PaddlePaddle | Criteo_Terabyte | 3.1.0 |
NCF | PyTorch | movielens | 2.2.0 |
Wide&Deep | PaddlePaddle | Criteo_Terabyte | 2.3.0 |
xDeepFM | PaddlePaddle | Criteo_Terabyte | 3.1.0 |
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请参见 DeepSpark Code of Conduct on Gitee or on GitHub。
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如果不希望您的数据集公布在DeepSparkHub上或希望更新DeepSparkHub中属于您的数据集,请在Gitee或Github上提交issue,我们将按您 的issue删除或更新。衷心感谢您对我们社区的支持和贡献。
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