30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

andrewlxm

andrewlxm.github.io

atomization-energy-prediction

audio_recognition

Implementing a method to detect bird sound using Fast Fourier Transform (FFT) and to recognize speech automatically.

awesome-math

A curated list of awesome mathematics resources

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

cheatsheets

Just a place to store cheatsheets

cses-problems

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

deep-learning-for-causal-inference

Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

docker-tutorial

emotion_recognition

frontend-project

game-cross-the-road

Game Cross The Road

google-research

Google Research

icpc-codebook

Stanford ACM-ICPC related materials, edited to meet Indian regionals requirements.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

learn-machine-learning-in-two-months

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

linear-regression

Machine Learning - Linear Regression_Ecommerce_Prediction

machine_learning_complete

A comprehensive repository containing 30+ notebooks on learning machine learning!

mathsdl-spring19

Mathematics of Deep Learning, Courant Insititute, Spring 19

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mth10353_introduction-to-machine-learning

This is some course works i took in the IntroML class

neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

numerical-analysis-python

Python notebooks for Numerical Analysis