achillessaxby Goto Github PK

algorithms

:computer: Data Structures and Algorithms in Python

awesome-deep-learning-papers

The most cited deep learning papers

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bus-network-delay

Predict delay for NYC bus network

courses

fast.ai Courses

cusp-alumnihackathon2017

hackathon with pitches from CUSP Alumni working in NYC agencies

cusp-students-hackdays

data-analyses-introduction

Introductory Material for Basic Data Analyses

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, b-bit MinHash, HyperLogLog, HyperLogLog++

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-tutorial-pydata2016

Deep learning tutorial for PyData London 2016

fastai

The fastai deep learning library, plus lessons and and tutorials

hackerrank_python_domain_solutions

Solutions of challenges of Hackerrank Python domain

highline-project-usi1

Repo for all analysis done for highilne

hitchhikers-guide

The Hitchhiker's Guide to Data Science for Social Good

keras

Deep Learning for humans

lectures

Oxford Deep NLP 2017 course

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 (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-with-python

Python code for common Machine Learning Algorithms

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

ml-projects

This repo contains all machine learning projects which I undertook.

mlcourse.ai

Open Machine Learning Course

og-aws

📙 Amazon Web Services — a practical guide

open-water-rate-specification

A machine-readable format for storing and sharing water rate structures.

openai-cookbook

Examples and guides for using the OpenAI API

practical-machinelearning

Machine Learning Scripts on some datasets.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)