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lectures
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Repositories Index
nodejs
javascript
engineering
lectures
programming
algorithms
asynchronous
architecture
parallel
data-structures
paradigms
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Jul 8, 2020
Programming Dictionary
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Jun 27, 2020
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
python
lectures
tutorial
fpga
dsp
numpy
fast-fourier-transform
scipy
convolution
fft
digital-signal-processing
lessons
fir
numpy-tutorial
finite-impulse-response
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May 7, 2020 - HTML
Machine Learning Lectures at the European Space Agency (ESA) in 2018
machine-learning
text-mining
lectures
deep-learning
neural-network
random-forest
clustering
linear-regression
pca
topic-modeling
machinelearning
tf-idf
decision-trees
support-vector-machines
lecture-videos
lecture-material
lecture-slides
anomaly-detection
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Feb 17, 2020 - Jupyter Notebook
Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)
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Jun 9, 2020
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Oct 17, 2017 - TeX
Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)
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Dec 18, 2019
Materials for the course of machine learning at Imperial College organized by Yandex SDA
machine-learning
lectures
practice
yandex
theano
deep-learning
scikit-learn
sklearn
keras
imperial-college
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Feb 9, 2017 - Jupyter Notebook
deep learning: theory + practice
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Mar 12, 2019 - Python
MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions
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Mar 28, 2019 - Jupyter Notebook
A chrome extension for batch downloading Moodle resources 💾
chrome-extension
productivity
students
lectures
downloader
university
monash-university
moodle
moodle-downloader
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May 24, 2020 - JavaScript
Python files for SLAM course by Claus Brenner
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Aug 4, 2018 - Python
Computer Vision Course at IITB, Spring 2018
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Jul 18, 2018 - Jupyter Notebook
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
python
machine-learning
natural-language-processing
lectures
udacity
deep-learning
neural-network
tensorflow
jupyter-notebook
pandas
python3
pytorch
gan
neural-networks
tensorflow-tutorials
tensorflow-examples
pandas-tutorial
pytorch-tutorial
machine-learning-study
tensorflow2
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Jul 9, 2020 - Jupyter Notebook
Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)
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Nov 16, 2019
Old materials of ML course at MIPT 20..-2018
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Feb 4, 2019 - Jupyter Notebook
chrome-extension
lectures
university
echo
monash-university
gecko
lecture
lecture-videos
echo360
mulo
download-lectures
geckodm
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Jul 6, 2020 - JavaScript
Python Teaching, Seminars for 2nd year students of School of Linguistics NRU HSE
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Sep 22, 2017 - Jupyter Notebook
Slides and Jupyter notebooks
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Nov 24, 2017 - Jupyter Notebook
Lectures and computer labs storage for IW5 course at FIT VUT.
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Apr 27, 2020 - C#
потоковый курс "Машинное обучение и анализ данных (Machine Learning and Data Mining)" на факультете ВМК МГУ имени М.В. Ломоносова
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Apr 1, 2020
Lecture notes for Advanced Operating Systems and Virtualization course at Sapienza University of Rome
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Mar 8, 2019 - TeX
Масштабируемое машинное обучение и анализ больших данных с Apache Spark
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Mar 11, 2018 - Jupyter Notebook
Lectures on optimization methods
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Jan 14, 2020 - Jupyter Notebook
Guide to Stuff !
learning
lectures
links
resources
tutorials
exercises
learning-by-doing
best-resources
online-practice
learn-fast
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Oct 10, 2018
All the source codes and lectures of reinforcement learning.
python
environment
lectures
reinforcement-learning
deep-learning
robotics
code
paper
openai-gym
vision
policy-gradient
autonomous-driving
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Jun 13, 2020
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Jul 2, 2018 - TeX
C/C++ Multithreading Programming Course Materials.
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Apr 19, 2017 - C++
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Subject of the issue
Documentation needed
Steps to reproduce
When I need help with the options I just run
coursera-dlbut this is sometimes insufficient because this shows all the options but it doesn't explain how they work or how they're used, with options like --hooks --video-resolution is not possible to deduce how they must be used.Would be nice to have a detailed exp