khangtran2503 Goto Github PK

asebo

Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... please get in touch if interested!!

berkeley-ai-pacman-projects

My solutions to the UC Berkeley AI Pacman Projects

coding-interview-university

A complete computer science study plan to become a software engineer.

compression

cpbook-code

CP4 Free Source Code Project (C++17, Java11, Python3 and OCaml)

cs106.k21.khtn

cs112.l11.khtn

cs97si

cuda

Programs run on Fermi GPU wtih CUDA 7.5

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

dl_tutorial

code and dataset

evolutionary-computing

foundational_learning_inference

Mathematical foundations of learning and inference

fruits-classification-in-android

Capstone Project: Fruits Classification in Android

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

introduction-to-machine-learning-with-python

it007.k21.khtn

kddcup2021-citybrainchallenge-starter-kit

latex-workshop

Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.

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.

lich.thi.csv.googlecalendar

machine_learning_coursera

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

pderl

Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020

pgmorl

[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.