carlosdg

carlosdg's Stars

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.6k3139354.8k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.4k3264033.4k

• conwnet/github1s

  One second to read GitHub code with VS Code.

  Language:TypeScript22.9k109212876

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.3k3253252.6k

• keplergl/kepler.gl

  Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

  Language:TypeScript10.5k2061.3k1.8k

• great-expectations/great_expectations

  Always know what to expect from your data.

  Language:Python10k851.9k1.6k

• xuebinqin/U-2-Net

  The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

  Language:Python8.7k1423431.5k

• Yuheng-Li/MixNMatch

  Pytorch implementation of MixNMatch

  Language:Python9795626193

• PlanTL-GOB-ES/lm-spanish

  Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).

  Language:Python25328521

• AlliedToasters/dfencoder

  Language:Jupyter Notebook12941449

• Praneet9/Representation-Learning-for-Information-Extraction

  Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

  Language:Python10192529

• angeligareta/image-captioning

  Image Caption Generator implemented using Tensorflow and Keras in a Python Jupyter Notebook. The goal is to describe the content of an image by using a CNN and RNN.

  Language:Jupyter Notebook292011

• CoronaWhy/task-ts

  Work related to time series prediction and forecasting of Coronavirus

  Language:Jupyter Notebook2393416

• opencanarias/taple-core

  Reference library that implements all the necessary functionality for developing a client that is compatible with TAPLE's DLT network.

  Language:Rust20315

• angeligareta/hey-nova-gpt-voice-assistant

  Talk to your personal GPT Voice Assistant like Google Assistant or Alexa 🇪🇸🇬🇧, locally on your MacOS/Linux machine 🎤

  Language:Python16107

• Vizzuality/marxan-cloud

  Monorepo for the Marxan Cloud platform

  Language:TypeScript12705

• angeligareta/image-colorization

  This project aims to study the Image Colorization problem and implement a Convolutional Neural Network that is able to colorize black and white images using CIELAB color space.

  Language:Jupyter Notebook10202

• CoronaWhy/task-geo

  "Help us understand how geography affects virality."

  Language:Python1093420

• angeligareta/deepfakes-overview

  Research whose goal is to introduce deep fakes, presenting the state-of-the-art implementations in the area and examples of what such technology is capable of doing.

  Language:Jupyter Notebook9201

• angeligareta/hash-code-2021

  Solution for online qualification round of #HashCode2021, a Google programming competition to solve a team-based challenge.

  Language:Python5201

• mcolebrook/code-con

  Docker image including VS Code and Code Server

  Language:Dockerfile5000

• AlbertoGonzalezAlvarez/UGR_Master_Thesis

  Analysis is a web application to show up the topics model I built using LDA (Latent Dirichlet Allocation) in order to analyze Andalusian parliamentarians interventions between 2008 and 2012.

  Language:HTML3100

• angeligareta/basic-text-mining-python

  Assignment for Intelligent Systems course which aims to perform basic analysis on a provided corpus, researching state-of-the-art techniques for word cloud generation.

  Language:Jupyter Notebook320

• angeligareta/pictograms-sentiment-analysis

  Research to study how the inclusion of pictograms, such as emoticons and emojis, affects the sentiment analysis performed by machine learning classification algorithms.

  Language:Jupyter Notebook3201

• angeligareta/battleship

  Implementation of the infamous game Sink The Float in Prolog. Played against the machine but the board is only visible for it.

  Language:Prolog1101

• angeligareta/spark-hadoop-hbase-overview

  First lab for Data-Intensive Computing course at KTH where we are introduced to Apache Spark MLlib and Spark SQL, Hadoop, and HBase.

  Language:Jupyter Notebook120

• angeligareta/spark-kafka-cassandra-overview

  Second lab for Data-Intensive Computing course at KTH where we use Apache Kafka, Spark, and Cassandra to practice stream processing.

  Language:Jupyter Notebook1201

• DauteRR/sundaes-on-demand

  Results of completing Bonnie Schulkin's course 'Testing React with Jest and Testing Library' :white_check_mark:

  Language:TypeScript120

• DauteRR/ticketing-microservices

  Implementation of the second application of Stephen Grider's course: Microservices with Node JS and React :whale2:

  Language:TypeScript120

• esegredo/TFG-TFM-Structure

  This a structure of files and directories that provides a starting point to develop and End of Degree project

  Language:TeX1100