istassha's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
keras-team/keras
Deep Learning for humans
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pypa/pipenv
Python Development Workflow for Humans.
plotly/plotly.py
The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
networkx/networkx
Network Analysis in Python
ivy-llc/ivy
Convert Machine Learning Code Between Frameworks
scipy/scipy
SciPy library main repository
sympy/sympy
A computer algebra system written in pure Python
Theano/Theano
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
lucidrains/x-transformers
A concise but complete full-attention transformer with a set of promising experimental features from various papers
lammps/lammps
Public development project of the LAMMPS MD software package
python-control/python-control
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
Felix-Petersen/difflogic
A Library for Differentiable Logic Gate Networks
mikeroyal/Neuromorphic-Computing-Guide
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
MLSysOps/Active-Learning-as-a-Service
A scalable & efficient active learning/data selection system for everyone.
KeithGalli/sklearn
Data & Code associated with my tutorial on the sci-kit learn machine learning library in python
zabaras/transformer-physx
Transformers for modeling physical systems
LeapLabTHU/Deep-Incubation
Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)
NREL/phygnn
physics-guided neural networks (phygnn)
StanfordASL/Adaptive-Control-Oriented-Meta-Learning
Adaptive control-oriented meta-learning for nonlinear systems
tornede/py_experimenter
The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results in a unified manner in a database.
cselab/LED
khinsen/ScientificPython
Python library for scientific computing
codecaution/EvoMoE
electropy/electropy
Classical electrodynamics simulation toolset for Python
richardARPANET/mlpy
mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL.
SNU-LIST/DeepRF