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33-js-concepts

📜 33 concepts every JavaScript developer should know.

algoritmo-genetico-c

Implementação, na linguagem C, de um algoritmo genético (Genetic Algorithm) capaz de buscar o ponto de mínimo em funções de duas variáveis

b-soid

Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is an unsupervised learning algorithm written in MATLAB and Python that serves to discover behaviors that are not pre-defined by users.

blog

Personal Blog

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

brcars-dataset

BRCars is a dataset for fine-grained classification and other computer vision tasks.

chatgpt-goes-shopping

Code for paper ChatGPT Goes Shopping: LLMs Can Predict Relevance in eCommerce Search

clean-code-javascript

:bathtub: Clean Code concepts adapted for JavaScript

context-aware-markov-chains

Markov Chain combined with word vector embedding (word2vec) and part-of-speech tagging, for context-aware text generation. License: MIT

covid-19-paper

cs-hidden-markov-models

HIdden Markov Models using C#

cyber_kustom_component

Este framework tem como objetivo auxiliar o desenvolvimento de interfaces, fornecendo componentes com características facilmente editáveis.

dbd-php

Database driver for PHP (PostgreSQL, OData, YellowERP, 1С)

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

distance-similarity-measures

Distance and Similarity measures and more

dns-server

DNS server for a Job Interview Test at Ericsson

ecommerce-coronavirus

gallocy

A distributed shared memory infrastructure.

going-deeper-with-convolutional-neural-network-for-stock-market-prediction

Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction

google_auto_complete

Using MapReduce to implement Google Search Auto-Completion based on N-Gram Language Model

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

imageclassification

Deep Learning: Image classification, feature visualization and transfer learning with Keras

java-libsvm

Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java

java-naive-bayes-classifier

Package provides java implementation of naive bayes classifier

java-text-retrieval

Text retrieval framework that implements vector space model and language model

js-svm

Package provides javascript implementation of support vector machines

jupyter

Jupyter metapackage for installation, docs and chat

keras-text-summarization

Text summarization using seq2seq in Keras

kmcuda

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.