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o7s8r6's Projects

discopy icon discopy

The Python toolkit for computing with string diagrams.

dl4cvstarterbundle icon dl4cvstarterbundle

Edited code examples from the book 'Deep Learning for Computer Vision - Starter Bundle' by Adrian Rosebrock

dlib icon dlib

A toolkit for making real world machine learning and data analysis applications in C++

dmtk icon dmtk

Microsoft Distributed Machine Learning Toolkit

dni.pytorch icon dni.pytorch

Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

dnn_tensorflow_cpp icon dnn_tensorflow_cpp

This project is a simple deep neural network trained using only TensorFlow C++.

docs icon docs

TensorFlow documentation

dopamine icon dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dowhy icon dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dragonn icon dragonn

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

dx icon dx

DX Analytics | Financial and Derivatives Analytics with Python

eagerpy icon eagerpy

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

earthengine-py-notebooks icon earthengine-py-notebooks

A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

easy_street_parking_with_mask-rcnn icon easy_street_parking_with_mask-rcnn

A prototype application that can be transformed into a full-fledged real-time parking management app to help people find parking spots near malls, shopping areas, cinema house etc. A text message is sent to let you know whenever there's a vacancy in the nearby street parking or community parking. Park_clever notebook contains the latest code.

ecco icon ecco

Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).

econml icon econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

eel icon eel

A little Python library for making simple Electron-like HTML/JS GUI apps

electra icon electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

elitequant icon elitequant

A list of online resources for quantitative modeling, trading, portfolio management

elki icon elki

ELKI Data Mining Toolkit

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