Jaime Ide's repositories
ji_pythonLab
Some useful Python codes
LiLabYale
Repository with scripts and data used in research conducted at the laboratory led by Prof. Chiang-shan R. Li at Yale University (LiLabYale). It also hosts the ABCD1000 Pediatric Template constructed from 1000 children, including an average anatomical brain and tissue probability maps (TPM) compatible with SPM/Dartel.
ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
PythonRobotics
Python sample codes for robotics algorithms.
pyro
Deep universal probabilistic programming with Python and PyTorch
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
torchsample
High-Level Training, Data Augmentation, and Utilities for Pytorch
bngenerator
Automatically exported from code.google.com/p/bngenerator
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Deep-Portfolio-Theory
Deep Learning framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)
gcForest
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
dpcca-python
Step-by-step computation of the detrended partial correlation analysis (DPCCA) coefficient in Python
nxt-python
NXT-Python is a python driver/interface for the Lego Mindstorms NXT robot based on NXT_python.
Oreilly-Blog
code to accompany blog posts
HMM-MAR
Toolbox for segmentation and characterisation of transient connectivity
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.
Python-Adaptive-Signal-Processing-Handbook
Python adaptive signal processing tutorials
active-inference
A toy model of Friston's active inference in Tensorflow
CoSMoMVPA
A lightweight multivariate pattern analysis (MVPA) toolbox in Matlab / Octave
PyDeepGP
Deep Gaussian Processes in Python
Tensorflow-Programs-and-Tutorials
Implementations of CNNs, RNNs, GANs, etc
ResearchStack
An SDK for building research study apps on Android.
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
tensorflow
Computation using data flow graphs for scalable machine learning