misc
TensorFlow-Tutorials
| misc | TensorFlow-Tutorials | |
|---|---|---|
| 14 | 2 | |
| 2 | 9,250 | |
| - | - | |
| 6.3 | 0.0 | |
| 11 months ago | over 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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misc
- [P] New predictor does classification intermixed with regression
- New Algorithm Tops 34 Scikit-Learn Classifiers on the Titanic Dataset
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New Algorithm Tops 37 Scikit-Learn Classifiers on the Titanic Dataset
Regarding accuracy, occasionaly deodel outdoes more established algorithms like RandomForest, GradientBoostingClassifier, MLPClassifier, SVC, etc. Such an occasion is presented in here.
- Easy Machine Learning Dataset Evaluation Tool (Update)
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N\A cell in the matrix
deodel
- At what point do you consider dropping a categorical feature with missing values?
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The unclean data omnivore
csv_dataset_eval.ipynb
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Robust mixed attributes classifier (machine learning)
equal_width_vs_equal_frequency
- Estimating predictability of raw CSV files
- Classification with mixed attributes
TensorFlow-Tutorials
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Probabilistic forecasting
"deep neural network" https://github.com/Hvass-Labs/TensorFlow-Tutorials
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Plagiarism is just bad
The majority of this code is taken from the TensorFlow-Tutorials. I highly recommend them to those who want to get started with TensorFlow.
What are some alternatives?
deodel - A mixed attributes predictive algorithm implemented in Python.
car-damage-detection - Detectron2 for car damage detection using custom dataset
nbviewer - nbconvert as a web service: Render Jupyter Notebooks as static web pages
YOLO_Object_Detection - This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Practical_RL - A course in reinforcement learning in the wild
m1-machine-learning-test - Code for testing various M1 Chip benchmarks with TensorFlow.
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
TextWorld - ​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions - Solutions of Reinforcement Learning, An Introduction
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0