Skip to content
#

ensemble

Star

Here are 240 public repositories matching this topic...

Language: All
Filter by language
All 240 Jupyter Notebook 89 Python 85 R 16 Java 9 HTML 7 MATLAB 3 Shell 3 C++ 2 Lua 2 ObjectScript 2
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

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
Read more
enhancement help wanted good first issue
mljar-supervised

mljar / mljar-supervised

Star 1.8k
Open

r2 metric report values

7
moshe-rl
moshe-rl commented Nov 30, 2021

When using r2 as eval metric for regression task (with 'Explain' mode) the metric values reported in Leaderboard (at README.md file) are multiplied by -1.
For instance, the metric value for some model shown in the Leaderboard is -0.41, while when clicking the model name leads to the detailed results page - and there the value of r2 is 0.41.
I've noticed that when one of R2 metric values in the L

Read more
bug help wanted good first issue
Find more good first issues

FORTH-ModelBasedTracker / MocapNET

Star 419

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 Mar 20, 2022
  • C++
imbalanced-ensemble

ZhiningLiu1998 / imbalanced-ensemble

Star 87

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 65
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

Read more
bug good first issue

hfxunlp / transformer

Star 59

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 Dec 23, 2021
  • Python

Improve this page

Add a description, image, and links to the ensemble topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ensemble topic, visit your repo's landing page and select "manage topics."

Learn more