Yawapi's Stars
djgagne/ams-ml-python-course
Machine Learning in Python for Environmental Science Problems AMS Short Course Material
ChristianNogueira/datacamp_projects
DataCamp Projects
llSourcell/Kaggle_Earthquake_challenge
This is the code for the Kaggle Earthquake Challenge by Siraj Raval on Youtube
mikeckennedy/python-jumpstart-course-demos
Contains all the "handout" materials for my Python Jumpstart by Building 10 Apps course. This includes try it yourself and finished versions of the 10 apps.
talkpython/mastering-pycharm-course
Course demos and handouts for Talk Python's Effective PyCharm course
llSourcell/Dimensionality_Reduction
This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
bokeh/bokeh
Interactive Data Visualization in the browser, from Python
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
WillKoehrsen/Data-Analysis
Data Science Using Python
connor11528/cs-fundamentals
🎓 Data structures and algorithms
llSourcell/Sentiment_Analysis
This is the code for "Sentiment Analysis - Data Lit #1" by Siraj Raval on Youtube
mwouts/jupytext
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
AmirAli5/100DaysOfMLCode
In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. And this code is basically Siraj Raval’s 100 Days of ML Code Challenge! Which I completed in 100 days from November 2018 to February 2019. On the basis of my past one and half years of experience, I have done different projects in 100 Days related to Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.
chrisdonahue/wavegan
WaveGAN: Learn to synthesize raw audio with generative adversarial networks
ericmjl/nxviz
Visualization Package for NetworkX
google-deepmind/hanabi-learning-environment
hanabi_learning_environment is a research platform for Hanabi experiments.
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
rasbt/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
zziz/pwc
This repository is no longer maintained.
python/peps
Python Enhancement Proposals
Mybridge/machine-learning-open-source
Monthly Series - Machine Learning Top 10 Open Source Projects
fabiopardo/qmap
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
Unidata/MetPy
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
OpenMined/PySyft
Perform data science on data that remains in someone else's server
Unidata/netcdf-fortran
Official GitHub repository for netCDF-Fortran libraries, which depend on the netCDF C library. Install the netCDF C library first.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
hydrosoc/rhydro_EGU17
Using R in Hydrology - EGU2017 Short Course
llSourcell/Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
goodrahstar/Python-Deep-Learning-Projects
Codebase for my book "Python DeepLearning Projects" | Learn applied deep learning for various use-cases on NLP, CV and ASR using TensorFlow and Keras. Book link.