chitrita Goto Github PK

paper-implementations

Pytorch implementations of popular Deep Learning papers

papers-i-read

A-Paper-A-Week

patch-based-3d-fcn-for-brats-tumor-segmentation

phageparser

A project to extract CRISPR information from open genetic data.

phd_project

Saul Moore -- PhD Deep Learning for Behavioural Genomics -- GitHub Repository

phenograph

Subpopulation detection in high-dimensional single-cell data

popstrat

Population Stratification Analysis on Genomics Data Using Deep Learning

practical_opencv3_python

Projects for Video Series titled "Practical OpenCV3 Image Processing with Python"

pregel

Tensorflow implementation of Graph Convolutional Network

preprocessing_brats2014

probabilisitc-pytorch

Deep Probabilistic Programming Examples in Pytorch using pyro

probabilistic-models

Collection of probabilistic models and inference algorithms

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

proj294

Final project code for CS 294

project---deep-learning-strategies-to-analyse-single-cell-image-cytometry-data

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pwc

Papers with code. Sorted by stars. Updated weekly.

pybhc

Bayesian Hierarchical clustering in python

pycadl

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

pycon2017

Bayesian Machine Learning, https://us.pycon.org/2017/schedule/presentation/232/

pycon2018

Code and Presentation for PyCon 2018

pydata_la_2018

Added repo for PyData LA 2018 tutorial

pyscenic

pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

python-for-financial-analysis-and-algorithmic-trading

https://www.udemy.com/python-for-finance-and-trading-algorithms/

python_machine_learning

it contains all my python demo code accompanying my machine learning notes

pytorch-for-numpy-users

PyTorch for Numpy users.

pytorch-ntm

Neural Turing Machines (NTM) - PyTorch Implementation

pytorch-rl

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

raceid

Algorithm for the inference of cell types from single-cell RNA-seq data.

radiomic-prediction-of-tumor-grade-and-overall-survival-from-the-brats-glioma-dataset

Folder corresponding to 2017 summer project at MD Anderson Cancer Center.