Add Model Card via Patra Toolkit
Browse files- patra_modelcard.json +808 -0
patra_modelcard.json
ADDED
@@ -0,0 +1,808 @@
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1 |
+
{
|
2 |
+
"name": "UCI Adult Data Analysis model using Tensorflow",
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3 |
+
"version": "0.1",
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4 |
+
"short_description": "UCI Adult Data analysis using Tensorflow for demonstration of Patra Model Cards.",
|
5 |
+
"full_description": "We have trained a ML model using the tensorflow framework to predict income for the UCI Adult Dataset. We leverage this data to run the Patra model cards to capture metadata about the model as well as fairness and explainability metrics.",
|
6 |
+
"keywords": "uci adult, tensorflow, explainability, fairness, patra",
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7 |
+
"author": "Your Name",
|
8 |
+
"input_type": "Tabular",
|
9 |
+
"category": "classification",
|
10 |
+
"input_data": "https://archive.ics.uci.edu/ml/datasets/adult",
|
11 |
+
"output_data": "https://github.iu.edu/d2i/dockerhub/tensorflow/adult_modelv01",
|
12 |
+
"foundational_model": "None",
|
13 |
+
"ai_model": {
|
14 |
+
"name": "Income prediction tensorflow model",
|
15 |
+
"version": "0.1",
|
16 |
+
"description": "Census classification problem using TensorFlow Neural Network using the UCI Adult Dataset",
|
17 |
+
"owner": "Your Name or Organization",
|
18 |
+
"location": "https://example.com/path-to-model",
|
19 |
+
"license": "BSD-3 Clause",
|
20 |
+
"framework": "tensorflow",
|
21 |
+
"model_type": "dnn",
|
22 |
+
"test_accuracy": 0.7919545769691467,
|
23 |
+
"model_structure": {
|
24 |
+
"module": "keras",
|
25 |
+
"class_name": "Sequential",
|
26 |
+
"config": {
|
27 |
+
"name": "sequential",
|
28 |
+
"trainable": true,
|
29 |
+
"dtype": {
|
30 |
+
"module": "keras",
|
31 |
+
"class_name": "DTypePolicy",
|
32 |
+
"config": {
|
33 |
+
"name": "float32"
|
34 |
+
}
|
35 |
+
},
|
36 |
+
"layers": [
|
37 |
+
{
|
38 |
+
"module": "keras.layers",
|
39 |
+
"class_name": "InputLayer",
|
40 |
+
"config": {
|
41 |
+
"batch_shape": [
|
42 |
+
100
|
43 |
+
],
|
44 |
+
"dtype": "float32",
|
45 |
+
"sparse": false,
|
46 |
+
"name": "input_layer"
|
47 |
+
}
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"module": "keras.layers",
|
51 |
+
"class_name": "Dense",
|
52 |
+
"config": {
|
53 |
+
"name": "dense",
|
54 |
+
"trainable": true,
|
55 |
+
"dtype": {
|
56 |
+
"module": "keras",
|
57 |
+
"class_name": "DTypePolicy",
|
58 |
+
"config": {
|
59 |
+
"name": "float32"
|
60 |
+
}
|
61 |
+
},
|
62 |
+
"units": 64,
|
63 |
+
"activation": "relu",
|
64 |
+
"use_bias": true,
|
65 |
+
"kernel_initializer": {
|
66 |
+
"module": "keras.initializers",
|
67 |
+
"class_name": "GlorotUniform",
|
68 |
+
"config": {}
|
69 |
+
},
|
70 |
+
"bias_initializer": {
|
71 |
+
"module": "keras.initializers",
|
72 |
+
"class_name": "Zeros",
|
73 |
+
"config": {}
|
74 |
+
}
|
75 |
+
},
|
76 |
+
"build_config": {
|
77 |
+
"input_shape": [
|
78 |
+
100
|
79 |
+
]
|
80 |
+
}
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"module": "keras.layers",
|
84 |
+
"class_name": "Dense",
|
85 |
+
"config": {
|
86 |
+
"name": "dense_1",
|
87 |
+
"trainable": true,
|
88 |
+
"dtype": {
|
89 |
+
"module": "keras",
|
90 |
+
"class_name": "DTypePolicy",
|
91 |
+
"config": {
|
92 |
+
"name": "float32"
|
93 |
+
}
|
94 |
+
},
|
95 |
+
"units": 128,
|
96 |
+
"activation": "relu",
|
97 |
+
"use_bias": true,
|
98 |
+
"kernel_initializer": {
|
99 |
+
"module": "keras.initializers",
|
100 |
+
"class_name": "GlorotUniform",
|
101 |
+
"config": {}
|
102 |
+
},
|
103 |
+
"bias_initializer": {
|
104 |
+
"module": "keras.initializers",
|
105 |
+
"class_name": "Zeros",
|
106 |
+
"config": {}
|
107 |
+
}
|
108 |
+
},
|
109 |
+
"build_config": {
|
110 |
+
"input_shape": [
|
111 |
+
64
|
112 |
+
]
|
113 |
+
}
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"module": "keras.layers",
|
117 |
+
"class_name": "Dense",
|
118 |
+
"config": {
|
119 |
+
"name": "dense_2",
|
120 |
+
"trainable": true,
|
121 |
+
"dtype": {
|
122 |
+
"module": "keras",
|
123 |
+
"class_name": "DTypePolicy",
|
124 |
+
"config": {
|
125 |
+
"name": "float32"
|
126 |
+
}
|
127 |
+
},
|
128 |
+
"units": 64,
|
129 |
+
"activation": "relu",
|
130 |
+
"use_bias": true,
|
131 |
+
"kernel_initializer": {
|
132 |
+
"module": "keras.initializers",
|
133 |
+
"class_name": "GlorotUniform",
|
134 |
+
"config": {}
|
135 |
+
},
|
136 |
+
"bias_initializer": {
|
137 |
+
"module": "keras.initializers",
|
138 |
+
"class_name": "Zeros",
|
139 |
+
"config": {}
|
140 |
+
}
|
141 |
+
},
|
142 |
+
"build_config": {
|
143 |
+
"input_shape": [
|
144 |
+
128
|
145 |
+
]
|
146 |
+
}
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"module": "keras.layers",
|
150 |
+
"class_name": "Dense",
|
151 |
+
"config": {
|
152 |
+
"name": "dense_3",
|
153 |
+
"trainable": true,
|
154 |
+
"dtype": {
|
155 |
+
"module": "keras",
|
156 |
+
"class_name": "DTypePolicy",
|
157 |
+
"config": {
|
158 |
+
"name": "float32"
|
159 |
+
}
|
160 |
+
},
|
161 |
+
"units": 1,
|
162 |
+
"activation": "sigmoid",
|
163 |
+
"use_bias": true,
|
164 |
+
"kernel_initializer": {
|
165 |
+
"module": "keras.initializers",
|
166 |
+
"class_name": "GlorotUniform",
|
167 |
+
"config": {}
|
168 |
+
},
|
169 |
+
"bias_initializer": {
|
170 |
+
"module": "keras.initializers",
|
171 |
+
"class_name": "Zeros",
|
172 |
+
"config": {}
|
173 |
+
}
|
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+
},
|
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+
"build_config": {
|
176 |
+
"input_shape": [
|
177 |
+
64
|
178 |
+
]
|
179 |
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}
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536 |
+
"nbformat==5.10.4",
|
537 |
+
"ndindex==1.9.2",
|
538 |
+
"nest-asyncio==1.6.0",
|
539 |
+
"networkx==3.4.2",
|
540 |
+
"nibabel==5.3.2",
|
541 |
+
"nltk==3.9.1",
|
542 |
+
"notebook-shim==0.2.4",
|
543 |
+
"notebook==6.5.5",
|
544 |
+
"numba-cuda==0.0.17.1",
|
545 |
+
"numba==0.60.0",
|
546 |
+
"numexpr==2.10.2",
|
547 |
+
"numpy==1.26.4",
|
548 |
+
"nvidia-cublas-cu12==12.5.3.2",
|
549 |
+
"nvidia-cuda-cupti-cu12==12.5.82",
|
550 |
+
"nvidia-cuda-nvcc-cu12==12.5.82",
|
551 |
+
"nvidia-cuda-nvrtc-cu12==12.5.82",
|
552 |
+
"nvidia-cuda-runtime-cu12==12.5.82",
|
553 |
+
"nvidia-cudnn-cu12==9.3.0.75",
|
554 |
+
"nvidia-cufft-cu12==11.2.3.61",
|
555 |
+
"nvidia-curand-cu12==10.3.6.82",
|
556 |
+
"nvidia-cusolver-cu12==11.6.3.83",
|
557 |
+
"nvidia-cusparse-cu12==12.5.1.3",
|
558 |
+
"nvidia-nccl-cu12==2.21.5",
|
559 |
+
"nvidia-nvcomp-cu12==4.1.0.6",
|
560 |
+
"nvidia-nvjitlink-cu12==12.5.82",
|
561 |
+
"nvidia-nvtx-cu12==12.4.127",
|
562 |
+
"nvtx==0.2.10",
|
563 |
+
"nx-cugraph-cu12==24.12.0",
|
564 |
+
"oauth2client==4.1.3",
|
565 |
+
"oauthlib==3.2.2",
|
566 |
+
"openai==1.59.9",
|
567 |
+
"opencv-contrib-python==4.10.0.84",
|
568 |
+
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|
569 |
+
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|
570 |
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|
571 |
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|
572 |
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|
573 |
+
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|
574 |
+
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|
575 |
+
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|
576 |
+
"optree==0.14.0",
|
577 |
+
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|
578 |
+
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|
579 |
+
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|
580 |
+
"packaging==24.2",
|
581 |
+
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|
582 |
+
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|
583 |
+
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|
584 |
+
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|
585 |
+
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|
586 |
+
"panel==1.6.0",
|
587 |
+
"param==2.2.0",
|
588 |
+
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|
589 |
+
"parsy==2.1",
|
590 |
+
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|
591 |
+
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|
592 |
+
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|
593 |
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|
594 |
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|
595 |
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|
596 |
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"pexpect==4.9.0",
|
597 |
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|
598 |
+
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|
599 |
+
"pip==24.1.2",
|
600 |
+
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|
601 |
+
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|
602 |
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|
603 |
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|
604 |
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"ply==3.11",
|
605 |
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|
606 |
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|
607 |
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|
608 |
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|
609 |
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|
610 |
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|
611 |
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|
612 |
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|
613 |
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|
614 |
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|
615 |
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|
616 |
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|
617 |
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|
618 |
+
"protobuf==4.25.6",
|
619 |
+
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|
620 |
+
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|
621 |
+
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|
622 |
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|
623 |
+
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|
624 |
+
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|
625 |
+
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|
626 |
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|
627 |
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|
628 |
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|
629 |
+
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|
630 |
+
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|
631 |
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|
632 |
+
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|
633 |
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|
634 |
+
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|
635 |
+
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|
636 |
+
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|
637 |
+
"pygame==2.6.1",
|
638 |
+
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|
639 |
+
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|
640 |
+
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|
641 |
+
"pyjwt==2.10.1",
|
642 |
+
"pylibcudf-cu12==24.12.0",
|
643 |
+
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|
644 |
+
"pylibraft-cu12==24.12.0",
|
645 |
+
"pymc==5.19.1",
|
646 |
+
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|
647 |
+
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|
648 |
+
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|
649 |
+
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|
650 |
+
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|
651 |
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|
652 |
+
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|
653 |
+
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|
654 |
+
"pyproj==3.7.0",
|
655 |
+
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|
656 |
+
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|
657 |
+
"pyspark==3.5.4",
|
658 |
+
"pytensor==2.26.4",
|
659 |
+
"pytest==8.3.4",
|
660 |
+
"python-apt==0.0.0",
|
661 |
+
"python-box==7.3.2",
|
662 |
+
"python-dateutil==2.8.2",
|
663 |
+
"python-louvain==0.16",
|
664 |
+
"python-slugify==8.0.4",
|
665 |
+
"python-snappy==0.7.3",
|
666 |
+
"python-utils==3.9.1",
|
667 |
+
"pytz==2024.2",
|
668 |
+
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|
669 |
+
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|
670 |
+
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|
671 |
+
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|
672 |
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|
673 |
+
"referencing==0.36.2",
|
674 |
+
"regex==2024.11.6",
|
675 |
+
"requests-oauthlib==1.3.1",
|
676 |
+
"requests-toolbelt==1.0.0",
|
677 |
+
"requests==2.32.3",
|
678 |
+
"requirements-parser==0.9.0",
|
679 |
+
"rich==13.9.4",
|
680 |
+
"rmm-cu12==24.12.1",
|
681 |
+
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|
682 |
+
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|
683 |
+
"rsa==4.9",
|
684 |
+
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|
685 |
+
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|
686 |
+
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|
687 |
+
"scipy==1.13.1",
|
688 |
+
"scooby==0.10.0",
|
689 |
+
"scs==3.2.7.post2",
|
690 |
+
"seaborn==0.13.2",
|
691 |
+
"secretstorage==3.3.1",
|
692 |
+
"send2trash==1.8.3",
|
693 |
+
"sentence-transformers==3.3.1",
|
694 |
+
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|
695 |
+
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|
696 |
+
"setproctitle==1.3.4",
|
697 |
+
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|
698 |
+
"shapely==2.0.6",
|
699 |
+
"shellingham==1.5.4",
|
700 |
+
"simple-parsing==0.1.7",
|
701 |
+
"six==1.17.0",
|
702 |
+
"sklearn-compat==0.1.3",
|
703 |
+
"sklearn-pandas==2.2.0",
|
704 |
+
"slicer==0.0.8",
|
705 |
+
"smart-open==7.1.0",
|
706 |
+
"smmap==5.0.2",
|
707 |
+
"sniffio==1.3.1",
|
708 |
+
"snowballstemmer==2.2.0",
|
709 |
+
"soundfile==0.13.1",
|
710 |
+
"soupsieve==2.6",
|
711 |
+
"soxr==0.5.0.post1",
|
712 |
+
"spacy-legacy==3.0.12",
|
713 |
+
"spacy-loggers==1.0.5",
|
714 |
+
"spacy==3.7.5",
|
715 |
+
"spanner-graph-notebook==1.0.9",
|
716 |
+
"sphinx==8.1.3",
|
717 |
+
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|
718 |
+
"sphinxcontrib-devhelp==2.0.0",
|
719 |
+
"sphinxcontrib-htmlhelp==2.1.0",
|
720 |
+
"sphinxcontrib-jsmath==1.0.1",
|
721 |
+
"sphinxcontrib-qthelp==2.0.0",
|
722 |
+
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|
723 |
+
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|
724 |
+
"sqlglot==25.6.1",
|
725 |
+
"sqlparse==0.5.3",
|
726 |
+
"srsly==2.5.1",
|
727 |
+
"stanio==0.5.1",
|
728 |
+
"statsmodels==0.14.4",
|
729 |
+
"stringzilla==3.11.3",
|
730 |
+
"sympy==1.13.1",
|
731 |
+
"tables==3.10.2",
|
732 |
+
"tabulate==0.9.0",
|
733 |
+
"tbb==2022.0.0",
|
734 |
+
"tcmlib==1.2.0",
|
735 |
+
"tenacity==9.0.0",
|
736 |
+
"tensorboard-data-server==0.7.2",
|
737 |
+
"tensorboard==2.18.0",
|
738 |
+
"tensorflow-datasets==4.9.7",
|
739 |
+
"tensorflow-hub==0.16.1",
|
740 |
+
"tensorflow-io-gcs-filesystem==0.37.1",
|
741 |
+
"tensorflow-metadata==1.16.1",
|
742 |
+
"tensorflow-probability==0.24.0",
|
743 |
+
"tensorflow==2.18.0",
|
744 |
+
"tensorstore==0.1.71",
|
745 |
+
"termcolor==2.5.0",
|
746 |
+
"terminado==0.18.1",
|
747 |
+
"text-unidecode==1.3",
|
748 |
+
"textblob==0.17.1",
|
749 |
+
"tf-keras==2.18.0",
|
750 |
+
"tf-slim==1.1.0",
|
751 |
+
"thinc==8.2.5",
|
752 |
+
"threadpoolctl==3.5.0",
|
753 |
+
"tifffile==2025.1.10",
|
754 |
+
"timm==1.0.14",
|
755 |
+
"tinycss2==1.4.0",
|
756 |
+
"tokenizers==0.21.0",
|
757 |
+
"toml==0.10.2",
|
758 |
+
"tomli==2.0.1",
|
759 |
+
"toolz==0.12.1",
|
760 |
+
"torch==2.5.1+cu124",
|
761 |
+
"torchaudio==2.5.1+cu124",
|
762 |
+
"torchsummary==1.5.1",
|
763 |
+
"torchvision==0.20.1+cu124",
|
764 |
+
"tornado==6.3.3",
|
765 |
+
"tqdm==4.67.1",
|
766 |
+
"traitlets==5.7.1",
|
767 |
+
"traittypes==0.2.1",
|
768 |
+
"transformers==4.47.1",
|
769 |
+
"triton==3.1.0",
|
770 |
+
"tweepy==4.14.0",
|
771 |
+
"typeguard==4.4.1",
|
772 |
+
"typer==0.15.1",
|
773 |
+
"types-pytz==2024.2.0.20241221",
|
774 |
+
"types-setuptools==75.8.0.20250110",
|
775 |
+
"typing-extensions==4.12.2",
|
776 |
+
"tzdata==2025.1",
|
777 |
+
"tzlocal==5.2",
|
778 |
+
"uc-micro-py==1.0.3",
|
779 |
+
"umf==0.9.1",
|
780 |
+
"uritemplate==4.1.1",
|
781 |
+
"urllib3==2.3.0",
|
782 |
+
"vega-datasets==0.9.0",
|
783 |
+
"wadllib==1.3.6",
|
784 |
+
"wandb==0.19.4",
|
785 |
+
"wasabi==1.1.3",
|
786 |
+
"wcwidth==0.2.13",
|
787 |
+
"weasel==0.4.1",
|
788 |
+
"webcolors==24.11.1",
|
789 |
+
"webencodings==0.5.1",
|
790 |
+
"websocket-client==1.8.0",
|
791 |
+
"websockets==14.2",
|
792 |
+
"werkzeug==3.1.3",
|
793 |
+
"wheel==0.45.1",
|
794 |
+
"widgetsnbextension==3.6.10",
|
795 |
+
"wordcloud==1.9.4",
|
796 |
+
"wrapt==1.17.2",
|
797 |
+
"xarray-einstats==0.8.0",
|
798 |
+
"xarray==2025.1.1",
|
799 |
+
"xgboost==2.1.3",
|
800 |
+
"xlrd==2.0.1",
|
801 |
+
"xyzservices==2025.1.0",
|
802 |
+
"yarl==1.18.3",
|
803 |
+
"yellowbrick==1.5",
|
804 |
+
"yfinance==0.2.52",
|
805 |
+
"zipp==3.21.0",
|
806 |
+
"zstandard==0.23.0"
|
807 |
+
]
|
808 |
+
}
|