Amit Kumar's Projects
Literature references for “Designing Data-Intensive Applications”
cpp implementation for algorithms in the book "digital image processing and computer vision"("数字图像处理与机器视觉-Visual C++与Matlab实现")
Code implementation from the book Django for Beginners by William S. Vincent
To-do app using Django
Simple django user authentication template.
Code implementation of Django for APIs by Willian S. Vincent
Data Mining Book Slides
Applying 5 Classification Algorithms on 5 datasets using k-fold-cross-validation and comparing results of 5 metrics
MTech Final Year Project
Google Research
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Image Processing with Python
Predict whether income exceeds $50K/yr based on census data. Used RandomForest.
A script for khinsider mass downloads. Get video game soundtracks quickly and easily! Also a Python interface.
A python script to allow entire album download from https://downloads.khinsider.com/
Kubernetes PDF Documentation
This Repository Contains All My Solved Leetcode Problems.
Implementation of popular ML algorithms from scratch
Animation engine for explanatory math videos
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Resources for Machine Learning Fundamentals
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent