https://github.com/krshrimali/all-algorithms

Implementations and Tutorials on Algorithms for Problem Solving
https://github.com/krshrimali/all-algorithms

algorithms competitive-programming computer-vision data-science deep-learning machine-learning problem-solving tutorials

Last synced: 4 months ago
JSON representation

Implementations and Tutorials on Algorithms for Problem Solving

• Host: GitHub
• URL: https://github.com/krshrimali/all-algorithms
• Owner: krshrimali
• License: mit
• Created: 2018-09-01T17:41:33.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2019-12-25T18:00:33.000Z (over 6 years ago)
• Last Synced: 2025-04-23T13:27:52.234Z (about 1 year ago)
• Topics: algorithms, competitive-programming, computer-vision, data-science, deep-learning, machine-learning, problem-solving, tutorials
• Language: Jupyter Notebook
• Size: 1010 KB
• Stars: 5
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Algorithms

Implementations and Tutorials on Algorithms for Problem Solving

**Algorithms** covered:

1. **Competitive Programming**

    1. Graham Scan for Convex Hull.

    2. Strings: Finding Patterns (Rabin Karp and Knuth Morris Pratt).

    3. Convex Hull

2. **Computer Vision**

    1. General Adversarial Networks: GAN-CLS.

    2. Object Detection (YOLOv3).

    3. Random Walker: Segmentation.

3. **Machine Learning**

    1. Handling missing values in Decision Trees.

    2. Scoring Probability Predictions in Python.

    3. ROC Curves

    4. Introduction to NumPy and Plotting

    5. Exploratory Data Analysis (using Iris Dataset)

4. **Data Analysis and Science**

    1. Data Cleaning.

5. **Deep-Learning**

    1. Generative Adversarial Networks

    2. Batch Normalization

    3. Human Acitivity Recognition (To Do)