yousefazizi1982 Goto Github PK

persianqa

Persian (Farsi) Question Answering Dataset (+ Models)

persianstemmer-python

PersianStemmer-Python

physics_prediction

Codes for paper "Flexible Neural Representation for Physics Prediction".

picogpt

An unnecessarily tiny implementation of GPT-2 in NumPy.

pinns-tf2

PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.

pinns-torch

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

poisson_flow

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

polykin

Polymerization kinetics python package

polyply_1.0

Generate input parameters and coordinates for atomistic and coarse-grained simulations of polymers, ssDNA, and carbohydrates

powermodels.jl

A Julia/JuMP Package for Power Network Optimization

ppx

Probabilistic Programming eXecution protocol (PPX)

practical-python

Practical Python Programming (course by @dabeaz)

py3plex

Py3plex - A multilayer complex network visualization and analysis library in python3

pydantic

Data validation using Python type hints

pyepo

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pyprob

A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch

pyqt-translucent-full-loading-screen-thread

PyQt thread which overlays the translucent loading screen with label on the whole window like some generic application loading screen.

pyscript

pyspark-ai

English SDK for Apache Spark

pythia

The hub for EleutherAI's work on interpretability and learning dynamics

python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-gans

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pytse-client

work with Tehran stock exchange data in Python

qml-benchmarks

Code to benchmark quantum machine learning models

quantopian-offline-2020

A collection of my quantopian learnings, trying to use everything locally and with updated code which works in 2020.

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants