Code
Hub
Workspaces
Following
Trending
Connect
MCP
copy
Create free account
hub
/
github.com/amazon-science/alexa-arena
/ types & classes
Types & classes
76 in github.com/amazon-science/alexa-arena
⨍
Functions
501
◇
Types & classes
76
↓ 11 callers
Class
AverageMeter
Computes and stores the average and current value
modeling/vl_model/utils.py:225
↓ 7 callers
Class
ArenaOrchestrator
arena_wrapper/arena_orchestrator.py:29
↓ 5 callers
Class
MaskRCNN
pretrained MaskRCNN from torchvision
modeling/vision_model/models.py:134
↓ 4 callers
Class
ArenaPHModel
modeling/inference/model_executors/placeholder_model_executor.py:23
↓ 4 callers
Class
FeatureExtractor
modeling/ns_model/nn/enc_visual.py:165
↓ 3 callers
Class
CocoDataset
`MS Coco Detection <https://cocodataset.org/#detection-2016>`_ Dataset. It requires the `COCO API to be installed <https://github.com/pdollar/coc
modeling/vision_model/data_generators/coco_data_generator.py:17
↓ 2 callers
Class
ArenaDataset
modeling/vision_model/data_generators/arena_data_generator.py:22
↓ 2 callers
Class
ArenaRefDataset
modeling/vl_model/data_generators/vl_data_generator.py:69
↓ 2 callers
Class
FeatureFlat
a few conv layers to flatten features that come out of ResNet
modeling/ns_model/nn/enc_visual.py:212
↓ 2 callers
Class
Lang
modeling/ns_model/utils/lang.py:6
↓ 2 callers
Class
LearnedModel
modeling/ns_model/model/learned.py:20
↓ 2 callers
Class
SmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
modeling/vision_model/utils.py:19
↓ 1 callers
Class
AWSHelper
modeling/inference/util/utils.py:132
↓ 1 callers
Class
ActionMaskPredictionModel
modeling/vl_model/models.py:53
↓ 1 callers
Class
App
web_tool/server.py:89
↓ 1 callers
Class
ArenaController
arena_wrapper/arena_controller.py:16
↓ 1 callers
Class
ArenaDebugger
debugger/arena_debugger.py:19
↓ 1 callers
Class
ArenaHelper
eval_ai/run_evalai_test.py:17
↓ 1 callers
Class
ArenaNNModel
arena_installation_test/arena_nn_model.py:10
↓ 1 callers
Class
ArenaNSDataset
modeling/ns_model/ns_data_generator.py:19
↓ 1 callers
Class
ArenaNSModel
modeling/inference/model_executors/ns_model_executor.py:32
↓ 1 callers
Class
ArenaRequestBuilder
arena_wrapper/arena_request_builder.py:19
↓ 1 callers
Class
ArenaVLModel
modeling/inference/model_executors/vl_model_executor.py:28
↓ 1 callers
Class
CocoDetection
modeling/vision_model/coco_utils.py:235
↓ 1 callers
Class
CocoEvaluator
modeling/vision_model/coco_eval.py:25
↓ 1 callers
Class
Controller
web_tool/server.py:21
↓ 1 callers
Class
ConvertCocoPolysToMask
modeling/vision_model/coco_utils.py:56
↓ 1 callers
Class
CoordConv
modeling/vl_model/layers.py:25
↓ 1 callers
Class
DatasetLearnedEncoding
Learned additive dataset id encoding implemented on top of nn.Embedding
modeling/ns_model/nn/encodings.py:145
↓ 1 callers
Class
EncoderLang
modeling/ns_model/nn/enc_lang.py:13
↓ 1 callers
Class
EncoderVL
modeling/ns_model/nn/enc_vl.py:17
↓ 1 callers
Class
FPN
modeling/vl_model/layers.py:259
↓ 1 callers
Class
Flatten
modeling/ns_model/nn/enc_visual.py:246
↓ 1 callers
Class
InstrLangEncoding
Relative position in an instruction (a sentence) encoding with wavelets
modeling/ns_model/nn/encodings.py:127
↓ 1 callers
Class
ModelDebugger
debugger/model_debugger.py:18
↓ 1 callers
Class
ModifiedAttentionPool2d
modeling/vl_model/models.py:149
↓ 1 callers
Class
ModifiedCLIP
modeling/vl_model/models.py:275
↓ 1 callers
Class
ModifiedResnetWithPyramidOutput
modeling/vl_model/models.py:233
↓ 1 callers
Class
ObjectClassifier
object classifier module (a single FF layer)
modeling/ns_model/nn/dec_object.py:14
↓ 1 callers
Class
PosEncoding
Transformer-style positional encoding with wavelets
modeling/ns_model/nn/encodings.py:13
↓ 1 callers
Class
PosLangEncoding
Transformer-style positional encoding with wavelets
modeling/ns_model/nn/encodings.py:101
↓ 1 callers
Class
PosLearnedEncoding
Learned additive positional encoding implemented on top of nn.Embedding
modeling/ns_model/nn/encodings.py:60
↓ 1 callers
Class
ProgressMeter
modeling/vl_model/utils.py:253
↓ 1 callers
Class
Projector
modeling/vl_model/layers.py:53
↓ 1 callers
Class
RCNN
pretrained FasterRCNN or MaskRCNN from torchvision
modeling/ns_model/nn/enc_visual.py:58
↓ 1 callers
Class
Resnet18
pretrained Resnet18 from torchvision
modeling/vision_model/models.py:107
↓ 1 callers
Class
Resnet18
pretrained Resnet18 from torchvision
modeling/ns_model/nn/enc_visual.py:22
↓ 1 callers
Class
StreamToLoguru
stream object that redirects writes to a logger instance.
modeling/vl_model/utils.py:359
↓ 1 callers
Class
TokenLearnedEncoding
Learned additive img/word/action token encoding implemented on top of nn.Embedding
modeling/ns_model/nn/encodings.py:80
↓ 1 callers
Class
TransformerDecoder
modeling/vl_model/layers.py:93
↓ 1 callers
Class
TransformerDecoderLayer
modeling/vl_model/layers.py:197
Class
web_tool/front-end/src/components/DropDown.jsx:11
Class
web_tool/front-end/src/components/StreamingContent.jsx:18
Class
web_tool/front-end/src/components/App.jsx:12
Class
App
web_tool/front-end/src/components/App.jsx:12
Class
AppConfig
arena_wrapper/__init__.py:4
Class
AppConfig
arena_wrapper/arena_orchestrator.py:21
Class
Compose
modeling/vision_model/transforms.py:22
Class
DataParallel
Allow nn.DataParallel to call model's attributes.
modeling/ns_model/utils/utils.py:37
Class
DotAttn
dot-attention (or soft-attention)
modeling/ns_model/nn/attention.py:29
Class
DropDown
web_tool/front-end/src/components/DropDown.jsx:11
Class
FilterAndRemapCocoCategories
modeling/vision_model/coco_utils.py:21
Class
Groupchat
web_tool/front-end/src/components/StreamingContent.jsx:18
Class
LearnedEncoding
Learned additive encoding implemented on top of nn.Embedding
modeling/ns_model/nn/encodings.py:46
Class
MetricLogger
modeling/vision_model/utils.py:150
Class
Model
modeling/ns_model/model/base.py:10
Class
Model
modeling/ns_model/model/transformer.py:19
Class
ObjectOutputType
arena_wrapper/enums/object_output_wrapper.py:9
Class
RGActionsConstant
arena_wrapper/arena_request_builder.py:12
Class
RandomHorizontalFlip
modeling/vision_model/transforms.py:32
Class
Resnet
modeling/vision_model/models.py:165
Class
SelfAttn
self-attention with learnable parameters
modeling/ns_model/nn/attention.py:11
Class
SimpleTokenizer
modeling/vl_model/data_generators/simple_tokenizer.py:68
Class
SmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
modeling/vl_model/utils.py:22
Class
ToTensor
modeling/vision_model/transforms.py:52
Class
Transforms
modeling/ns_model/nn/transforms.py:10