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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cheat-sheet-road-map

Data Science Cheatsheet and NLP Road Map

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

course-nlp

A Code-First Introduction to NLP course

credit-scoring

Credit Scoring Project

data-science-design-patterns

Design Patterns for Data Science

data-science-from-scratch

code for Data Science From Scratch book

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

docker-ml-development

Docker template for Machine Learning development in container

dvc-versioning

example dvc versioning

engineering

Repo for principles, job bands, coding challenges, and anything else we're ok sharing w/ the world.

example-cml-auto-reports

final-project

The Effect of Training Video Number for Each Class in Near Duplicate Video Retrieval Application using t-Distributed Unsupervised Stochastic Multi-View Hashing Method

google-cloud-4-words

The Google Cloud Developer's Cheat Sheet

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

image-classification-lenet5-cifar10

Image Classification, LeNet-5 CNN Architecture, CIFAR10 Dataset

indo-bert-news-classification

Indonesian BERT Fine Tuning News Classification

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

math-scientific-computation

ml-from-scratch

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

ml-stratch

named-entity-recognition-with-bidirectional-lstm-cnns

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

nn4nlp-code

Code Samples from Neural Networks for NLP

nn4nlp-concepts

A repository of concepts related to neural networks for NLP

pl-mnist

PyTorch Lightning for MNIST

practical-work

Design and Realization of Practicum Participants Attendance Detector using RFID Based on IOT

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 ;)