maniraniyal Goto Github PK

academy

Ray tutorials from Anyscale

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

bash2py

bash2py in a docker image, cf: http://www.swag.uwaterloo.ca/bash2py/index.html

bigdata

Step By Step guide for Hadoop installation on Ubuntu 16.04.3 with MapReduce example using Streaming

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cookbook

The Data Engineering Cookbook

data_science_blogs

A repository to keep track of all the code that I end up writing for my blog posts.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-reinforcement-learning-stock-trader

deep-visualization-toolbox

DeepVis Toolbox

deeplearning-helper

Helper modules for deep learning

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

delta

An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.

demo

TensorFlow Demo

dotfiles

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

fast-wavenet.pytorch

A PyTorch implementation of fast-wavenet

fastai

The fastai deep learning library, plus lessons and tutorials

filternet

A PyTorch ensemble neural network model used for time series analysis.

filternet-1

Deep learning architecture for computationally efficient activity recognition as described in the paper FilterNet: A many-to-many deep learning architecture for time series classification

finrl-library

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.

mathics

a general-purpose computer algebra system

n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

payrollcasestudy

An implementation of Uncle Bob's Payroll Case Study.

picar

Raspberry Pi client server rc car control system utilising a smartphone/tables gyro and html5/javascript running on node.js

python-lectures

IPython Notebooks to learn Python

python_ds_2days

Publish to Github

risk-aware-rl