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tensorflow / adanet

Star 3.4k
Open

Allow one to forward features to predictions

3
jankrynauw
jankrynauw commented Jun 6, 2019

We would like to forward a particular 'key' column which is part of the features to appear alongside the predictions - this is to be able to identify to which set of features a particular prediction belongs to. Here is an example of predictions output using the tensorflow.contrib.estimator.multi_class_head:

{"classes": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"],
 "scores": [0.068196
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enhancement help wanted good first issue
mljar-supervised

mljar / mljar-supervised

Star 2k
Open

Path normalization (train on Windows and deploy on Linux)

2
ViacheslavDanilov
ViacheslavDanilov commented May 19, 2022

I trained models on Windows, then I tried to use them on Linux, however, I could not load them due to an incorrect path joining. During model loading, I got learner_path in the following format experiments_dir/model_1/100_LightGBM\\learner_fold_0.lightgbm. The last two slashes were incorrectly concatenated with the rest part of the path. In this regard, I would suggest adding something like `l

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bug help wanted good first issue
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FORTH-ModelBasedTracker / MocapNET

Star 476

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance

demo real-time computer-vision neural-network tensorflow ensemble mocap bvh webcam gesture-recognition pose-estimation 3d-animation 3d-pose-estimation 2d-to-3d bvh-format rgb-images
  • Updated Jun 1, 2022
  • C++
imbalanced-ensemble

ZhiningLiu1998 / imbalanced-ensemble

Star 125

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

python data-science machine-learning data-mining scikit-learn sklearn python3 classification ensemble ensemble-learning class-imbalance ensemble-model imbalanced-data imbalanced-learning long-tail multi-class-classification imbalanced-classification ensemble-imbalanced-learning
  • Updated Jan 11, 2022
  • Python

THINK989 / Real-Time-Stock-Market-Prediction-using-Ensemble-DL-and-Rainbow-DQN

Star 78
Open

how can we get buy/sell signal

3
nexaas
nexaas commented May 24, 2020

hi ,I have run animate.py but I think it is only for forecasiting, how can we catch buy and sell signal
I am not so good about python language ,can u help me please
I think we shoulld use train and eval.py for that right? or is there anyway to do this on animate.py

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bug good first issue

hfxunlp / transformer

Star 61

Neutron: A pytorch based implementation of Transformer and its variants.

natural-language-processing python3 pytorch transformer seq2seq ensemble beam-search neural-machine-translation multi-gpu attention-is-all-you-need multilingual-nmt average-attention-network dynamic-sentence-sampling robust-neural-machine-translation average-models optimizers sentential-context context-aware-nmt relative-position dynamic-batch-size
  • Updated May 7, 2022
  • Python

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