Alternatives and similar repositories for competition

Users that are interested in competition are comparing it to the libraries listed below

• roboticcam / DLS_meetup_2018_02
  Contains all presentations for Deep Learning Sydney Meetup 2018 02
  ☆18Updated 7 years ago
• Eurus-Holmes / CMU11-785
  11-785 Introduction to Deep Learning Fall 2018
  ☆40Updated 6 years ago
• EkramulHoque / docker-jenkins-flask-tutorial
  ☆31Updated 6 years ago
• kushagra06 / CS230_DL
  ♊ Stanford CS230 : Deep Learning
  ☆16Updated 6 years ago
• roboticcam / python_machine_learning
  it contains all my python demo code accompanying my machine learning notes
  ☆81Updated last year
• carefree0910 / carefree-ml
  carefree-ml implemented Machine Learning algorithms with numpy, mainly for educational use
  ☆34Updated last year
• batermj / data_sciences_campaign
  【数据科学家系列课程】
  ☆104Updated 8 months ago
• lesteve / scikit-learn-tutorial
  This repo has moved to https://github.com/INRIA/scikit-learn-mooc/
  ☆42Updated 5 years ago
• glouppe / info8002-large-scale-data-systems
  Lectures for INFO8002 - Large-scale Data Systems, ULiège
  ☆67Updated 3 years ago
• MorvanZhou / npnet
  Build neural networks based only on Numpy
  ☆172Updated 2 years ago
• borgwang / tinyml
  Implement classic machine learning algorithms from scratch
  ☆15Updated 6 years ago
• achinnasamy / Free-Deep-Learning-Books
  A curated collection of free Deep Learning related eBooks
  ☆77Updated 7 years ago
• fly51fly / Principle_of_Web_Search_2020
  北邮《网络搜索原理》课程(2020)
  ☆103Updated 4 years ago
• sethjuarez / DeepLearningWithPyTorch
  ☆83Updated 4 years ago
• dragen1860 / awesome-AutoML
  A curated list of AutoML papers/tutorials/slides etc.
  ☆89Updated 6 years ago
• xiezhq-hermann / cs231n-2017
  My own solutions for Stanford CS231n (2017) assignments
  ☆44Updated 7 years ago
• davidrosenberg / ml2019
  DS-GA 1003: Machine Learning Course Webpage
  ☆15Updated 2 years ago
• tirthajyoti / PyTorch_Machine_Learning
  Machine learning, Deep Learning, CNN with PyTorch
  ☆80Updated 5 years ago
• MengtingWan / bittersweet-phd
  useful technical tips I wish I knew earlier in my phd life (latex, python/R visualization, web crawling/scraping, etc.)
  ☆70Updated 6 years ago
• roboticcam / publications
  A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep le…
  ☆24Updated 4 years ago
• roboticcam / matlab2python
  This is a growing tutorial demonstrates some MATLAB examples and their equivalent code in Python
  ☆79Updated 7 years ago
• JasonQSY / ML-Weekly
  My weekly of machine learning. Collection of implemented algorithms.
  ☆34Updated 7 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆372Updated 7 years ago
• ppham27 / MLaPP-solutions
  Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective
  ☆53Updated 8 years ago
• d2l-ai / notebooks
  ☆69Updated 6 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 5 years ago
• astonzhang / KDD19-tutorial
  KDD19 Tutorial: From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond
  ☆64Updated 2 years ago
• GitYCC / NTU_HYLee_MachineLearning_Homework
  作業分享：台大李宏毅 (Hung-Yi Lee) 教授的Machine Learning (2016, Fall)
  ☆168Updated 4 years ago
• dattarajrao / keras2kubernetes
  Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.
  ☆65Updated last year
• lballore / deep-learning-with-python
  TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet
  ☆48Updated 4 years ago