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Types & classes172 in github.com/alibaba-damo-academy/MedEvalKit

↓ 16 callersClassConversation
A class that keeps all conversation history.
models/HealthGPT/llava/conversation.py:21
↓ 13 callersClassConversation
A class that keeps all conversation history.
models/HuatuoGPT/conversation.py:20
↓ 13 callersClassConversation
A class that keeps all conversation history.
models/LLava_Med/conversation.py:20
↓ 5 callersClassLoraConfig
This is the configuration class to store the configuration of a [`~peft.Lora`]. Args: r (`int`): Lora attention dimension ta
models/HealthGPT/llava/peft/tuners/lora.py:32
↓ 2 callersClassCLIPVisionTower
models/HuatuoGPT/model/multimodal_encoder/clip_encoder.py:7
↓ 2 callersClassConversation
A class that manages prompt templates and keeps all conversation history.
models/InternVL/conversations.py:30
↓ 2 callersClassEvalAIAnswerProcessor
Processes an answer similar to Eval AI copied from https://github.com/facebookresearch/mmf/blob/c46b3b3391275b4181567db80943473a8
models/HealthGPT/llava/eval/m4c_evaluator.py:7
↓ 2 callersClassHuatuoChatbot
models/HuatuoGPT/cli.py:11
↓ 2 callersClassLlavaConfig
models/HuatuoGPT/model/language_model/llava_llama.py:32
↓ 2 callersClassStreamToLogger
Fake file-like stream object that redirects writes to a logger instance.
models/HealthGPT/llava/utils.py:60
↓ 1 callersClassBiMediX2
models/BiMediX2/BiMediX2_hf.py:16
↓ 1 callersClassBiomedGPT
models/BiomedGPT/BiomedGPT.py:8
↓ 1 callersClassCLIPVisionEmbeddingsLargerInput
models/HuatuoGPT/model/multimodal_encoder/clip_encoder_larger_input.py:10
↓ 1 callersClassCLIPVisionTower
models/HealthGPT/llava/model/multimodal_encoder/clip_encoder.py:7
↓ 1 callersClassCLIPVisionTower
models/HuatuoGPT/model/multimodal_encoder/clip_encoder_larger_input.py:120
↓ 1 callersClassCLIPVisionTower
models/LLava_Med/multimodal_encoder/clip_encoder.py:7
↓ 1 callersClassCLIPVisionTowerS2
models/HealthGPT/llava/model/multimodal_encoder/clip_encoder.py:92
↓ 1 callersClassCMB
utils/CMB/CMB.py:18
↓ 1 callersClassCMExam
utils/CMExam/CMExam.py:16
↓ 1 callersClassCMMLU
utils/CMMLU/CMMLU.py:18
↓ 1 callersClassCheXpert_Plus
utils/CheXpert_Plus/CheXpert_Plus.py:19
↓ 1 callersClassController
models/HealthGPT/llava/serve/controller.py:57
↓ 1 callersClassCustomDataset
models/HealthGPT/llava/eval/model_vqa_loader.py:31
↓ 1 callersClassFlamingoProcessor
Processor class for Flamingo.
models/Med_Flamingo/Med_Flamingo_hf.py:27
↓ 1 callersClassGemini
utils/utils.py:360
↓ 1 callersClassHealthBench
utils/HealthBench/HealthBench.py:25
↓ 1 callersClassHealthBenchEval
utils/HealthBench/official_code.py:256
↓ 1 callersClassHealthGPT
models/HealthGPT/HealthGPT.py:20
↓ 1 callersClassHuatuoGPT
models/HuatuoGPT/HuatuoGPT_hf.py:6
↓ 1 callersClassIU_XRAY
utils/IU_XRAY/IU_XRAY.py:19
↓ 1 callersClassIdentityMap
models/HealthGPT/llava/model/multimodal_projector/builder.py:6
↓ 1 callersClassIdentityMap
models/HuatuoGPT/model/multimodal_projector/builder.py:6
↓ 1 callersClassIdentityMap
models/LLava_Med/multimodal_projector/builder.py:6
↓ 1 callersClassInternVL
models/InternVL/InternVL_hf.py:7
↓ 1 callersClassJanus
models/Janus/Janus.py:8
↓ 1 callersClassLLavaMed
models/LLava_Med/LLava_Med_hf.py:26
↓ 1 callersClassLinear
models/HealthGPT/llava/peft/tuners/lora.py:258
↓ 1 callersClassLlamaVision
models/Llama_3/Llama_3_2_vision_instruct_vllm.py:6
↓ 1 callersClassLlava
models/LLava/LLava_hf.py:7
↓ 1 callersClassLlavaLlamaModel
models/HealthGPT/llava/model/language_model/llava_llama.py:34
↓ 1 callersClassLlavaLlamaModel
models/HuatuoGPT/model/language_model/llava_llama.py:36
↓ 1 callersClassLlavaMistralModel
models/HealthGPT/llava/model/language_model/llava_mistral.py:35
↓ 1 callersClassLlavaMistralModel
models/LLava_Med/utils.py:356
↓ 1 callersClassLlavaMptModel
models/HealthGPT/llava/model/language_model/llava_mpt.py:29
↓ 1 callersClassLlavaMptModel
models/HuatuoGPT/model/language_model/llava_mpt.py:29
↓ 1 callersClassLlavaPhiModel
models/HealthGPT/llava/model/language_model/llava_phi3.py:36
↓ 1 callersClassLlavaQwen2Model
models/HealthGPT/llava/model/language_model/llava_qwen.py:33
↓ 1 callersClassLlavaQwen2Model
models/HuatuoGPT/model/language_model/llava_qwen2.py:35
↓ 1 callersClassLoraModel
Creates Low Rank Adapter (Lora) model from a pretrained transformers model. Args: model ([`transformers.PreTrainedModel`]): The mode
models/HealthGPT/llava/peft/tuners/lora.py:86
↓ 1 callersClassMIMIC_CXR
utils/MIMIC_CXR/MIMIC_CXR.py:17
↓ 1 callersClassMMLU
utils/MMLU/MMLU.py:18
↓ 1 callersClassMMMU
utils/MMMU/MMMU.py:5
↓ 1 callersClassMedDr
LLMs.py:147
↓ 1 callersClassMedFrameQA
utils/MedFrameQA/MedFrameQA.py:17
↓ 1 callersClassMedGemma
models/MedGemma/MedGemma_hf.py:9
↓ 1 callersClassMedMCQA
utils/MedMCQA/MedMCQA.py:17
↓ 1 callersClassMedQA_MCMLE
utils/MedQA_MCMLE/MedQA_MCMLE.py:16
↓ 1 callersClassMedQA_USMLE
utils/MedQA_USMLE/MedQA_USMLE.py:18
↓ 1 callersClassMedXpertQA
utils/MedXpertQA/MedXpertQA.py:16
↓ 1 callersClassMed_Flamingo
models/Med_Flamingo/Med_Flamingo_hf.py:67
↓ 1 callersClassMedbullets_op4
utils/Medbullets_op4/Medbullets_op4.py:15
↓ 1 callersClassMedbullets_op5
utils/Medbullets_op5/Medbullets_op5.py:14
↓ 1 callersClassModelWorker
models/HealthGPT/llava/serve/model_worker.py:44
↓ 1 callersClassModelWorker
models/HealthGPT/llava/serve/sglang_worker.py:54
↓ 1 callersClassOmniMedVQA
utils/OmniMedVQA/OmniMedVQA.py:16
↓ 1 callersClassPATH_VQA
utils/PATH_VQA/PATH_VQA.py:17
↓ 1 callersClassPMC_VQA
utils/PMC_VQA/PMC_VQA.py:17
↓ 1 callersClassPeftModel
Parameter-Efficient Fine-Tuning Model. Base model encompassing various Peft methods. Args: model ([`PreTrainedModel`]): The base tra
models/HealthGPT/llava/peft/peft_model.py:48
↓ 1 callersClassPrefixEncoder
r""" The torch.nn model to encode the prefix Args: config ([`PrefixTuningConfig`]): The configuration of the prefix encoder. Exa
models/HealthGPT/llava/peft/tuners/prefix_tuning.py:49
↓ 1 callersClassPromptEmbedding
The model to encode virtual tokens into prompt embeddings. Args: config ([`PromptTuningConfig`]): The configuration of the prompt em
models/HealthGPT/llava/peft/tuners/prompt_tuning.py:65
↓ 1 callersClassPromptEncoder
The prompt encoder network that is used to generate the virtual token embeddings for p-tuning. Args: config ([`PromptEncoderConfig`]
models/HealthGPT/llava/peft/tuners/p_tuning.py:67
↓ 1 callersClassPubMedQA
utils/PubMedQA/PubMedQA.py:17
↓ 1 callersClassQwen2VL
models/Qwen2_VL/Qwen2_VL_hf.py:5
↓ 1 callersClassQwen2_5_VL
models/Qwen2_5_VL/Qwen2_5_VL_hf.py:5
↓ 1 callersClassRadrestruct
utils/Radrestruct/Radrestruct.py:12
↓ 1 callersClassSLAKE
utils/SLAKE/SLAKE.py:19
↓ 1 callersClassSuperGPQA
utils/SuperGPQA/SuperGPQA.py:16
↓ 1 callersClassTestModel
models/TestModel/TestModel.py:4
↓ 1 callersClassTextVQAAccuracyEvaluator
models/HealthGPT/llava/eval/m4c_evaluator.py:221
↓ 1 callersClassVQA_RAD
utils/VQA_RAD/VQA_RAD.py:17
↓ 1 callersClassVllm_Text
models/vllm_text/vllm_tokenizer.py:6
↓ 1 callersClassWorkerInfo
models/HealthGPT/llava/serve/controller.py:43
↓ 1 callersClassopenai_llm
utils/utils.py:288
↓ 1 callersClassopenai_llm
models/GPT/GPT.py:78
ClassAbstractProcessor
Abstract class for processors to show what methods they need to implement. Processors handle text encoding and image preprocessing.
models/Med_Flamingo/Med_Flamingo_hf.py:13
ClassAbstractProcessor
Abstract class for processors to show what methods they need to implement. Processors handle text encoding and image preprocessing.
models/Med_Flamingo/src/utils.py:5
ClassBaseDataset
utils/base_dataset.py:10
ClassBaseLLM
models/base_llm.py:3
ClassBiMediX2
LLMs.py:39
ClassBiomedGPT
LLMs.py:104
ClassDispatchMethod
models/HealthGPT/llava/serve/controller.py:28
ClassFlamingoProcessor
Processor class for Flamingo.
models/Med_Flamingo/src/utils.py:19
ClassGPT
LLMs.py:141
ClassHealthGPT
LLMs.py:95
ClassHealthGPT
models/HealthGPT/HealthGPT_phi.py:22
ClassHuatuoGPT
LLMs.py:54
ClassHuatuoGPT
models/HuatuoGPT/HuatuoGPT_vllm.py:19
ClassInternVL
LLMs.py:63
ClassInternVL
models/InternVL/InternVL_vllm.py:8
ClassJanus
LLMs.py:88
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