Code
Hub
Workspaces
Following
Trending
Connect
MCP
copy
Create free account
hub
/
github.com/OpenBMB/AgentCPM-GUI
/ types & classes
Types & classes
49 in github.com/OpenBMB/AgentCPM-GUI
⨍
Functions
568
◇
Types & classes
49
↓ 4 callers
Class
MobileUse
eval/utils/utils_qwen/agent_function_call.py:7
↓ 3 callers
Class
RMSNorm
eval/utils/utils_odyssey/modeling_qwen.py:1334
↓ 2 callers
Class
StopWordsLogitsProcessor
:class:`transformers.LogitsProcessor` that enforces that when specified sequences appear, stop geration. Args: stop_words_ids (:
eval/utils/utils_odyssey/qwen_generation_utils.py:305
↓ 1 callers
Class
ActionEvaluator
eval/utils/evaluator.py:152
↓ 1 callers
Class
ActionType
Integer values for each supported action type in AndroidInTheWild.
eval/utils/action_type.py:22
↓ 1 callers
Class
AsyncRLGRPOTrainer
Trainer for the Group Relative Policy Optimization (GRPO) method. This algorithm was initially proposed in the paper [DeepSeekMath: Pushing t
rft/trainer/arl.py:70
↓ 1 callers
Class
CPMTrainer
sft/trainer.py:13
↓ 1 callers
Class
ChineseDataset
eval/grounding_eval/code/Intern2.5-VL/evaluate_grounding_fun2bbox.py:42
↓ 1 callers
Class
ChineseDataset
eval/grounding_eval/code/Intern2.5-VL/evaluate_grounding_bbox2text.py:42
↓ 1 callers
Class
ChineseDataset
eval/grounding_eval/code/Intern2.5-VL/evaluate_grounding_text2bbox.py:42
↓ 1 callers
Class
EvalDataset
eval/run_eval_agent.py:23
↓ 1 callers
Class
GlobalDistributed0MQDataLoader
rft/trainer/utils/dataloader.py:11
↓ 1 callers
Class
GlobalSyncManager
管理全局任务同步信号并分配优势值。
rft/trainer/zmq.py:52
↓ 1 callers
Class
HisResampler
eval/utils/utils_odyssey/modeling_qwen.py:183
↓ 1 callers
Class
InferenceSampler
eval/grounding_eval/code/Intern2.5-VL/evaluate_grounding_fun2bbox.py:90
↓ 1 callers
Class
InferenceSampler
eval/grounding_eval/code/Intern2.5-VL/evaluate_grounding_bbox2text.py:89
↓ 1 callers
Class
InferenceSampler
eval/grounding_eval/code/Intern2.5-VL/evaluate_grounding_text2bbox.py:85
↓ 1 callers
Class
LocalBalanceManager
平衡本地机器创建的数据和任务,并与全局同步。
rft/trainer/zmq.py:247
↓ 1 callers
Class
QWenAttention
eval/utils/utils_odyssey/modeling_qwen.py:249
↓ 1 callers
Class
QWenBlock
eval/utils/utils_odyssey/modeling_qwen.py:480
↓ 1 callers
Class
QWenConfig
eval/utils/utils_odyssey/configuration_qwen.py:9
↓ 1 callers
Class
QWenLMHeadModel
eval/utils/utils_odyssey/modeling_qwen.py:929
↓ 1 callers
Class
QWenMLP
eval/utils/utils_odyssey/modeling_qwen.py:461
↓ 1 callers
Class
QWenModel
eval/utils/utils_odyssey/modeling_qwen.py:582
↓ 1 callers
Class
Resampler
A 2D perceiver-resampler network with one cross attention layers by (grid_size**2) learnable queries and 2d sincos pos_emb Outputs
eval/utils/utils_odyssey/visual.py:92
↓ 1 callers
Class
RotaryEmbedding
eval/utils/utils_odyssey/modeling_qwen.py:1265
↓ 1 callers
Class
SyncAdvantagesRequest
rft/trainer/zmq.py:33
↓ 1 callers
Class
TaskAndContent
rft/trainer/zmq.py:28
↓ 1 callers
Class
TaskStatus
rft/trainer/zmq.py:20
↓ 1 callers
Class
TransformerBlock
eval/utils/utils_odyssey/visual.py:300
↓ 1 callers
Class
VisImage
eval/utils/utils_odyssey/tokenization_qwen.py:495
↓ 1 callers
Class
VisionTransformer
eval/utils/utils_odyssey/visual.py:332
↓ 1 callers
Class
VisualAttention
self-attention layer class. Self-attention layer takes input with size [s, b, h] and returns output of the same size.
eval/utils/utils_odyssey/visual.py:159
↓ 1 callers
Class
VisualAttentionBlock
eval/utils/utils_odyssey/visual.py:247
↓ 1 callers
Class
Visualizer
eval/utils/utils_odyssey/tokenization_qwen.py:537
↓ 1 callers
Class
_IterWithLen
rft/trainer/arl.py:584
↓ 1 callers
Class
wrappeddict
rft/trainer/arl.py:543
Class
ComputerUse
eval/utils/utils_qwen/agent_function_call.py:147
Class
DataArguments
sft/finetune.py:32
Class
GRPOScriptArguments
Script arguments for the GRPO training script. Args: reward_funcs (`list[str]`): List of reward functions. Possible valu
rft/configs.py:22
Class
GRPOTrainingConfig
r""" Configuration class for the [`GRPOTrainer`]. Only the parameters specific to GRPO training are listed here. For details on other paramet
rft/configs.py:46
Class
GUIMTRFTDataset
Multiturn RFT Dataset
rft/trainer/utils/dataset.py:123
Class
GUIRFTDataset
rft/trainer/utils/dataset.py:40
Class
LoraArguments
sft/finetune.py:61
Class
ModelArguments
sft/finetune.py:27
Class
QWenPreTrainedModel
eval/utils/utils_odyssey/modeling_qwen.py:544
Class
QWenTokenizer
QWen tokenizer.
eval/utils/utils_odyssey/tokenization_qwen.py:100
Class
SupervisedDataset
Dataset for supervised fine-tuning.
sft/dataset.py:23
Class
TrainingArguments
sft/finetune.py:43