carsondahlberg

100-Days-Of-ML-Code

100 Days of ML Coding

awesome-shell

A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

deeptraffic

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

fastai

The fastai deep learning library, plus lessons and and tutorials

Kashgari

Simple and powerful NLP framework, build your own state-of-art model in 5 minutes.

nevergrad

A Python toolbox for performing gradient-free optimization

the-art-of-command-line

Master the command line, in one page

twitter-covid-19

covid-19 twitter research

anomaly-detection-resources

Anomaly detection related books, papers, videos and toolboxes

art_of_data_visualization

The art of effective visualization of multi-dimensional data

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

awesome-TS-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

chartify

Python library that makes it easy for data scientists to create charts.

course-content-dl

csvkit

A suite of utilities for converting to and working with CSV, the king of tabular file formats.

cursive_re

Readable regular expressions for Python 3.6 and up.

databot

(Botflow) Python Fast Data driven programming framework for Data pipeline work( Web Crawler,Machine Learning,Quantitative Trading.etc)

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

jupyter_workflow

jupyter workflow example

keras-pandas

keras-pandas allows users to rapidly build and iterate on deep learning models.

nlp_papers

inspirin' stuff

pbpython

Code, Notebooks and Examples from Practical Business Python

pyod

A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

russian-troll-tweets

SKompiler

A tool for compiling trained SKLearn models into other representations (such as SQL, Sympy or Excel formulas)

spark-submit-with-pyspark-template

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

StarSpace

Learning embeddings for classification, retrieval and ranking.