Juillermo

Juillermo's Stars

• sdmg15/Best-websites-a-programmer-should-visit

  :link: Some useful websites for programmers.

  58.7k1.3k1527.4k

• k88hudson/git-flight-rules

  Flight rules for git

  41.7k655733.2k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.3k7491.2k7.8k

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.2k8621556k

• kailashahirwar/cheatsheets-ai

  Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

  15k1k183.4k

• networkx/networkx

  Network Analysis in Python

  Language:Python14.4k2813.2k3.2k

• tonybeltramelli/pix2code

  pix2code: Generating Code from a Graphical User Interface Screenshot

  Language:Python11.9k1.2k01.4k

• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.4k443252.5k

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.4k2011.1k985

• dformoso/machine-learning-mindmap

  A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

  6.1k298111k

• keras-rl/keras-rl

  Deep Reinforcement Learning for Keras.

  Language:Python5.5k2032391.4k

• LingDong-/shan-shui-inf

  Procedurally generated Chinese landscape painting.

  Language:HTML5.5k7112442

• tensorflow/lucid

  A collection of infrastructure and tools for research in neural network interpretability.

  Language:Jupyter Notebook4.6k159177651

• briatte/awesome-network-analysis

  A curated list of awesome network analysis resources.

  Language:R3.4k20878601

• zackchase/mxnet-the-straight-dope

  An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

  Language:Jupyter Notebook2.6k137200725

• facebookresearch/poincare-embeddings

  PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

  Language:Python1.7k5270230

• HIPS/Spearmint

  Spearmint Bayesian optimization codebase

  Language:Python1.5k7995328

• MTG/DeepConvSep

  Deep Convolutional Neural Networks for Musical Source Separation

  Language:Python4683420110

• iboing/CliqueNet

  Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)

  Language:Python328191876

• GiulioRossetti/ndlib

  Network Diffusion Library - (for NetworkX and iGraph)

  Language:Python271135979

• vanessajurtz/lasagne4bio

  Language:Jupyter Notebook10610236

• jg-you/noisy-networks-measurements

  Noisy network measurement with stan

  Language:Stan52506

• icemansina/IJCAI2016

  This repository is for the replication of our published paper "Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks" on IJCAI2016. Please consult and consider citing the following papers:

  Language:Jupyter Notebook14328

• alrojo/biRNN-CRF

  Researching the forward-backward algorithm

  Language:Python11425

• davidwfong/ViolinMelodyCNNs

  Language:Python611

• tdgunes/COMP6203-2018Fall

  COMP6203-2018Fall: Intelligent Agents Module in University of Southampton

  Language:JavaScript2201

• victor-m-p/cultural-landscapes

  Language:Python20

• dgarcia-eu/ScalableInference

  Scalable Algorithms for Statistical Inference from Big Data

  Language:CSS1

• Juillermo/ABC

  The ABC model provides a Bayesian framework to infer multimorbidity associations between health conditions from Electronic Health Records.

  Language:Jupyter Notebook1100

• vladvelici/iridis5_ml_demo

  Language:Python1301