nlebang Goto Github PK

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

probconserv

Datasets and code for results presented in the ProbConserv paper

proximal

Sample implementations of proximal operators

pschub

A JupyterHub docker container for power systems computing

psse-via-dnns

pvr

Feature extraction for Probabilistic Volume Rendering

pydev

Python IDE for Eclipse

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

pyiso

Python client libraries for ISO and other power grid data sources.

pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

pynaivechain

Python implementation of naivechain project

pyomo

An object-oriented algebraic modeling language in Python for structured optimization problems.

pypmu

pyPMU - Python implementation of the IEEE C37.118 synchrophasor standard

pypownet

A power network simulator with a Reinforcement Learning-focused usage.

pysyft

Data science on data without acquiring a copy

python

All Algorithms implemented in Python

pytorch-101-tutorial-series

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

pytorch-audio-emotion-recognition

1st Place Public Leaderboard Solution for ERC2019

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

q

My attempt at researching Quantum Mechanics & Quantum Computing.

qmldocker

A docker container for quantum machine learning (QML) research

qspice

Quantum Circuit Simulator

quantum-book

The book: Practice exams in Quantum Computing for graduate students.

quantum-networking-papers

Library of Interesting papers related to various quantum effects and technologies, that I have read lately.

r-transformer

Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

reinforcement-learning

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