Miguel Peralvo's repositories
AIDL_KB
A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)
allennlp
An open-source NLP research library, built on PyTorch.
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
aristo-mini
Aristo mini is a light-weight question answering system that can quickly evaluate Aristo science questions with an evaluation web server and the provided baseline solvers.
dash-wind-streaming
https://plot.ly/dash/gallery/live-wind-data/
deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
ENAS-pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Fast-Pandas
Benchmark for different operations in pandas against various dataframe sizes.
FGLab
Future Gadget Laboratory
FGMachine
Future Gadget Machine
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
horovod
Distributed training framework for TensorFlow.
ig-markets-api-python-library
A lightweight Python library that can be used to get live data from IG Markets REST and STREAM API with a LIVE or DEMO account
kubeflow
Machine Learning Toolkit for Kubernetes
lore
Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers
mleap
MLeap: Deploy Spark Pipelines to Production
model-analysis
Model analysis tools for TensorFlow
neo4j
Graphs for Everyone
orientdb
OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text, Geospatial and Key-Value models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries. OrientDB Community Edition is Open Source using a liberal Apache 2 license.
polyaxon
An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
rest_api_demo
Boilerplate code for a RESTful API based on Flask-RESTPlus
RL-Adventure
Pytorch easy-to-follow step-by-step Deep Q Learning tutorial with clean readable code.
sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
seldon-core
Machine Learning Deployment for Kubernetes
system-metrics
Generates system info metrics
twitter-scraper
Scrape the Twitter Frontend API without authentication.