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answerly

Code for the Answerly project from the book Building Django Web Applications

applied-ml

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

autoencoders

This repo contains autoencoder architectures to perform various tasks like dimension reduction, noise removal, etc.

autopaint

awesome

A curated list of awesome lists

awesome-cs-books

:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档。

awesome-flutter

An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.

awesome-mlops

A curated list of references for MLOps

awesome-mlss

List of summer schools in machine learning + related fields across the globe

awesome-neural-net-training

A collection of resources (blog posts, papers, libraries) to make train all types of neural nets better and faster.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bda_course_aalto

Bayesian Data Analysis course at Aalto

cat-clicker

census-model-api

chatter-app

This is a flutter based modern messaging app where users can sign up and log in to chat with their friends, family, colleagues among groups with enriched User-Experience.

computer-vision-traditional-techniques

This repository is made possible due to the course ENGN6528.

convex-optimization

This repository is for understanding some Convex Optimization concepts using helpful visualization.

ctci-python-solutions

Cracking the Coding Interview in Python 3. The solutions all have detailed explanations with visuals.

data-engineering-howto

A list of useful resources to learn Data Engineering from scratch

data-science--cheat-sheet

Cheat Sheets

data-science-interview-preparation

deep-learning-for-tracking-and-detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-rnn-tasks

Contains different RNN architectures with Keras and accuracy comparisons for various tasks like POS tagging, speech recognition, etc.

deep-reinforcement-learning

Learning RL

deq

[NeurIPS'19] Deep Equilibrium Models

dl3d-seminar

Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data

documentation-generator

dsnunet

The pytorch implementation for "DSNUNet: An Improved Forest Change Detection Network by Combining Sentinel-1 and Sentinel-2 Images".