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aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

baal

Using approximate bayesian posteriors in deep nets for active learning

backpropamine

Train self-modifying neural networks with neuromodulated plasticity

ban-vqa

Bilinear attention networks for visual question answering

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesianlstm

Bayesian LSTM Implementation in PyTorch

beaker

A collaborative platform for rapid and reproducible research.

beakerx

Beaker Extensions for Jupyter Notebook

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bgcn

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

bigdata-ecosystem

BigData Ecosystem Dataset

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

blockchain

A simple Blockchain in Python

blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

blog

Public repo for HF blog posts

blog_code

A repo for holding example code

blogs

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

bob

The released codes for ACL 2021 paper 'BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data'

botbuilder-samples

Welcome to the BotBuilder samples repository. Here you will find task-focused samples in C# and Node.js to help you get started with the Bot Builder SDK!

bottom-up-attention-vqa

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

brain_cancer_classification

btgym

Scalable, event-driven, deep-learning-friendly backtesting library

build-your-own-x

🤓 Build your own (insert technology here)

business-machine-learning

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations.

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

cascadetabnet

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

catpapers

Cool vision, learning and graphics papers on Cats!

causalml

Uplift modeling and causal inference with machine learning algorithms

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.