zagarsuren Goto Github PK

2019

Lecture and seminar materials for Deep Learning summer school in Ulaanbaatar, 2019

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

bert

TensorFlow code and pre-trained models for BERT

course-v3

The 3rd edition of course.fast.ai

coursera

coursera-applied-data-science-with-python

Repo for coursera specialization Applied Data Science with Python by University of Michigan

coursera-dl

Script for downloading Coursera.org videos and naming them.

coursera_capstone

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

data-science--cheat-sheet

Cheat Sheets

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

developerworks

efficientnet-pytorch

A PyTorch implementation of EfficientNet

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fasttext

Library for fast text representation and classification.

folium

Python Data. Leaflet.js Maps.

github-slideshow

A robot powered training repository :robot:

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

implicit-mf

Implicit matrix factorization as outlined in http://yifanhu.net/PUB/cf.pdf.

jupyter-intro-xfel-jan17

Introduction to Jupyter Notebook

jupyternotebooks-medium

kaggle_days_china

labs

Rmd source files for the HarvardX series PH525x

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

matrix-factorization-in-python