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On The Journey to Neverland
🚖
On The Journey to Neverland

Highlights

  • Pro

Organizations

@DiSCoBGU @Front-end-for-Data-Science @Deep-Learning-aided-Drug-Designing @datAIsmServices

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minesh1291/README.md

Hi there 👋

This is Minesh,

Notebooks:

Time Series Domain:
  1. Time Series Anomaly Detection Using RNN Autoencoder
  2. ECG Classification using WaveNet Blocks
  3. Weather Forecasting with Lasso GridCV
  4. Time Series Forecasting with LSTM for Univariate & Multivariate
  5. Power Grid Stability with Deep Learning
  6. Bird Sound Identification Using CNN in Keras
  7. Time Series Feature Extraction with seq2seq Autoencoder
  8. Time Series Forecasting with Graph Convolution
  9. Sleep Sound Monitoring & Snoring Detection
NLP & Computer Vision, Etc..
  1. NLP Multi Labeled Text Classification LSTM Conv
  2. Fake News Classification using NLP, CNN and XGBoost stack
  3. Recommendation System Using Matrix Factorization
  4. Image Segmentation Using UNet
Reinforcement Learning, Operation Research, Optimal Control, Etc..
  1. Halite-3 (2018)
Search Engine and Knowledge Management
  1. Topic Graph
DevOps
  1. Executing Notebook as GCP train job

Parameter Optimization

  1. Determine number of PCA components
  2. Determine eps for DBSCAN clustering
Snake animation

Pinned Loading

  1. tooth-classification tooth-classification Public

    Jupyter Notebook

  2. transformers transformers Public

    Forked from huggingface/transformers

    🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

    Python

  3. mask_to_coco_annotation.py mask_to_coco_annotation.py
    1
    import json
    2
    import numpy as np
    3
    from pycocotools import mask
    4
    from skimage import measure
    5
    
                  
  4. hildensia/bayesian_changepoint_detection hildensia/bayesian_changepoint_detection Public

    Methods to get the probability of a changepoint in a time series.

    Jupyter Notebook 681 212