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Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
Publication-ready NN-architecture schematics.
2025 SWE internship & new graduate job list updated daily
Public quant internship repository, maintained by NUFT but available for everyone.
A game theoretic approach to explain the output of any machine learning model.
odnura / adtk
Forked from arundo/adtkA Python toolkit for rule-based/unsupervised anomaly detection in time series
alisonjing / pyod
Forked from yzhao062/pyodA Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
alisonjing / PlotNeuralNet
Forked from HarisIqbal88/PlotNeuralNetLatex code for making neural networks diagrams
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Calculations of dipole axis, dipole poles, and dipole tilt angle
Collection of Summer 2025 tech internships!
Training materials on AI/ML in Heliophysics
Python version of geopack and Tsyganenko models
Tutorials demonstrating how heliophysics researchers can leverage a HelioCloud instance to best effect.
This repository contains the course materials that were used for Coursera TensorFlow specialization course.
alisonjing / pyspedas
Forked from spedas/pyspedasPython-based Space Physics Environment Data Analysis Software
Living Review of Machine Learning for Particle Physics
Final Project Class of Data Mining
Starry night CSS animation background for beginners
Simple चेहरा(face) restoration
Productivity Tools for Plotly + Pandas
alisonjing / LeetCode
Forked from nyuhuyang/LeetCode📝 Python / C++ 11 Solutions of All 434 LeetCode Questions
Study guides for MIT's 15.003 Data Science Tools
alisonjing / intro-to-pysim
Forked from ZayManor/intro-to-pysimLearning simulation with PySim!
A collection of algorithms and data structures
Notebooks and code for the book "Introduction to Machine Learning with Python"
mglearn helper package for "Introduction to Machine Learning with Python"