Álvaro Arcos (aarcosg)

aarcosg

Geek Repo

Company:MCCM Innovations Ltd

Location:Seville (Spain)

Home Page:https://arcos.dev/

Github PK Tool:Github PK Tool

Álvaro Arcos's starred repositories

og-aws

📙 Amazon Web Services — a practical guide

Language:ShellLicense:CC-BY-4.0Stargazers:35492Issues:1216Issues:227

awesome-docker

:whale: A curated list of Docker resources and projects

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Language:PythonLicense:Apache-2.0Stargazers:26180Issues:943Issues:925

awesome-deep-learning-papers

The most cited deep learning papers

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Language:CLicense:NOASSERTIONStargazers:21530Issues:486Issues:8276

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Language:Jupyter NotebookLicense:MITStargazers:17884Issues:649Issues:184

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Language:PythonLicense:Apache-2.0Stargazers:15044Issues:465Issues:1247

pix2code

pix2code: Generating Code from a Graphical User Interface Screenshot

Language:PythonLicense:Apache-2.0Stargazers:11921Issues:1156Issues:0

torch7

http://torch.ch

Language:CLicense:NOASSERTIONStargazers:8959Issues:629Issues:733

UltimateAndroidReference

:rocket: Ultimate Android Reference - Your Road to Become a Better Android Developer

Language:JavaLicense:Apache-2.0Stargazers:7827Issues:385Issues:12

AdversarialNetsPapers

Awesome paper list with code about generative adversarial nets

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Language:PythonLicense:GPL-3.0Stargazers:6131Issues:244Issues:1076

keras-js

Run Keras models in the browser, with GPU support using WebGL

Language:JavaScriptLicense:MITStargazers:4961Issues:179Issues:115

DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Language:LuaLicense:BSD-3-ClauseStargazers:4688Issues:175Issues:59

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

caffe-tensorflow

Caffe models in TensorFlow

Language:PythonLicense:NOASSERTIONStargazers:2800Issues:133Issues:172

papers

Summaries of machine learning papers

DeepLearningImplementations

Implementation of recent Deep Learning papers

Language:PythonLicense:MITStargazers:1810Issues:132Issues:74

Deep-Trading

Algorithmic trading with deep learning experiments

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

Language:Jupyter NotebookLicense:MITStargazers:1398Issues:80Issues:5

DSOD

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

Language:PythonLicense:NOASSERTIONStargazers:703Issues:45Issues:43

fblualib

Facebook libraries and utilities for Lua

Language:LuaLicense:NOASSERTIONStargazers:614Issues:55Issues:0

loadcaffe

Load Caffe networks in Torch7

Language:Protocol BufferLicense:BSD-2-ClauseStargazers:494Issues:27Issues:94

adversarial_image_defenses

Countering Adversarial Image using Input Transformations.

Language:PythonLicense:NOASSERTIONStargazers:486Issues:19Issues:11

im2recipe

Code supporting the CVPR 2017 paper "Learning Cross-modal Embeddings for Cooking Recipes and Food Images"

Language:PythonLicense:MITStargazers:363Issues:14Issues:35

cardiac-segmentation

Right Ventricle Cardiac MRI Segmentation

Language:Jupyter NotebookLicense:MITStargazers:276Issues:24Issues:17

torch-toolbox

A collection of snippets and libraries for Torch from e-Lab

Paper-Collection

A track of papers I read

deep-forecast-pytorch

Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)

Language:PythonLicense:GPL-3.0Stargazers:176Issues:7Issues:0

YoloTensorFlow229

CS 229 Course Project. Lambert, Vilim, Buhler