kiwiriver's Stars
nco/pynco
Python bindings for NCO
tensorflow/models
Models and examples built with TensorFlow
ankurmahesh/ai4ess-hackathon-2020
loshchil/AdamW-and-SGDW
Decoupled Weight Decay Regularization (ICLR 2019)
VIAME/VIAME
Video and Image Analytics for Multiple Environments
synxlin/nn-compression
A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
lmfit/uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
lmfit/lmfit-py
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
scipy/scipy
SciPy library main repository
gher-uliege/DIVAnd.jl
DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations
Bjarten/early-stopping-pytorch
Early stopping for PyTorch
aviadlevis/pyshdom
A python wrapper for SHDOM and 3D retrieval of atmospheric properties
AndrewKvalheim/treemaker
A computational origami tool for generating crease patterns from tree diagrams
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
keras-team/autokeras
AutoML library for deep learning
cameronfr/BlenderKernel
Juptyer ipykernel that's running live in a Blender 2.8 window
automl/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
carpedm20/ENAS-pytorch
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
kiwiriver/covid_gnp
Scattering properties of gold nanoparticles for COVID-19 antibody test
JulesKouatchou/python-bootcamp
Bootcamp docs and lectures
JulesKouatchou/basic_language_comparison
bsumlin/PyMieScatt
A collection of forward and inverse Mie solving routines for Python 3, based on Bohren and Huffman's Mie Theory derivations
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
pytorch/tutorials
PyTorch tutorials.
COVID19Tracking/website
The COVID Tracking Project website
jibinmathew69/PyTorch-In-Depth
This is a repository which looks at Deep learning tutorial with Pytorch, with various important functions and documentation.
dsmbgu8/isofit
Imaging Spectrometer Optimal FITting with Neural Network RTM Emulation
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
cvxpy/cvxpy
A Python-embedded modeling language for convex optimization problems.