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 | 3.4.0 |
| Baichuan2-7B | PyTorch | DeepSpeed | baichuan2-7b-base | 3.4.0 |
| Bloom-7B1 | PyTorch | Firefly | school_math_0.25M | 3.4.0 |
| ChatGLM-6B | PyTorch | DeepSpeed | ADGEN & chatglm-6b | 3.1.0 |
| ChatGLM2-6B SFT | PyTorch | DeepSpeed | ADGEN & chatglm2-6b | 3.4.0 |
| ChatGLM3-6B | PyTorch | DeepSpeed | ADGEN & chatglm3-6b | 4.1.1 |
| DeepSeekMoE 7B | PyTorch | ColossalAI | deepseek-moe-16b-base | 4.1.1 |
| DeepSeek-LLM-7B | PyTorch | verl | deepseek-llm-7b-chat | dev-only |
| GLM-4 | PyTorch | Torchrun | glm-4-9b-chat | 4.2.0 |
| Gemma-2-2B-IT | PyTorch | verl | gemma-2-2b-it | dev-only |
| 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 | 3.4.0 |
| Llama2-7B SFT | PyTorch | Megatron-DeepSpeed | GPT Small-117M | 3.1.1 |
| Llama2-13B | PyTorch | Megatron-DeepSpeed | Bookcorpus | 3.4.0 |
| Llama2-34B | PyTorch | Megatron-DeepSpeed | Bookcorpus | 3.4.0 |
| Llama3-8B | PyTorch | Megatron-DeepSpeed | Bookcorpus | 4.1.1 |
| Llama3-8B | PyTorch | Megatron-LM | GPT Small-117M | 4.3.0 |
| Llama3-8B SFT | PyTorch | ColossalAI | school_math_0.25M | 4.1.1 |
| Llama3-8B SFT | PyTorch | OpenRLHF | Meta-Llama-3-8B | 4.3.0 |
| Llama3-8B PPO | PyTorch | OpenRLHF | Llama-3-8b-sft-mixture | 4.2.0 |
| Llama3-8B DPO | PyTorch | OpenRLHF | Llama-3-8b-sft-mixture | 4.2.0 |
| Llama3-8B KTO | PyTorch | OpenRLHF | Llama-3-8b-sft-mixture | 4.2.0 |
| Mamba-2 | PyTorch | Megatron-LM | GPT Small-117M | 4.1.1 |
| MiniCPM | PyTorch | DeepSpeed | MiniCPM-2B-sft-bf16 | 4.2.0 |
| Mixtral 8x7B | PyTorch | Megatron-LM | GPT Small-117M | 4.1.1 |
| Mixtral 8x7B | PyTorch | OpenRLHF | Mixtral-8x7B-v0.1 | 4.3.0 |
| Phi-3 | PyTorch | Torchrun | Phi-3-mini-4k-instruct | 4.2.0 |
| QWen-7B | PyTorch | Firefly | qwen-7b | 3.4.0 |
| QWen1.5-7B | PyTorch | Firefly | school_math | 4.1.1 |
| QWen1.5-14B | PyTorch | Firefly | school_math | 4.1.1 |
| Qwen2-7B | PyTorch | verl | qwen2-7b | dev-only |
| Qwen2.5-7B SFT | PyTorch | LLaMA-Factory | qwen2.5-7b | 4.1.1 |
| Qwen2.5-1.5B verl | PyTorch | verl | qwen2.5-1.5b | 4.2.0 |
| Qwen2.5-7B verl | PyTorch | verl | qwen2.5-7b | 4.2.0 |
| Qwen2.5-3B | PyTorch | ColossalAI | qwen2.5-3b | 4.3.0 |
| Qwen2.5-VL-7B | PyTorch | verl | qwen2.5-vl-7b | dev-only |
| Qwen3-8B | PyTorch | verl | qwen3-8b | dev-only |
| Yi-6B | PyTorch | DeepSpeed | Yi-6B | 4.2.0 |
| Yi-1.5-6B | PyTorch | DeepSpeed | Yi-1.5-6B | 4.2.0 |
| Yi-VL-6B | PyTorch | LLaMA-Factory | Yi-VL-6B-hf | 4.2.0 |
| 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 |
| YOLOv11 | PyTorch | COCO | 4.2.0 |
| 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 |
| MoE-LLaVA-Phi2-2.7B | PyTorch | MoE-LLaVA | 4.2.0 |
| MoE-LLaVA-Qwen-1.8B | PyTorch | MoE-LLaVA | 4.2.0 |
| MoE-LLaVA-StableLM-1.6B | PyTorch | MoE-LLaVA | 4.2.0 |
| Stable Diffusion 1.4 | PyTorch | pokemon-images | 3.0.0 |
| 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 |
|---|---|---|---|
| CosyVoice2-0.5B | DeepSpeed | openslr | 4.3.0 |
| 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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