asnelt

asnelt's Stars

• numpy/numpy

  The fundamental package for scientific computing with Python.

  Language:Python27.7k59712.8k10k

• scipy/scipy

  SciPy library main repository

  Language:Python13k34810.3k5.2k

• carpedm20/DCGAN-tensorflow

  A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

  Language:JavaScript7.1k2453062.6k

• openai/InfoGAN

  Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

  Language:Python1.1k21021308

• its-pointless/gcc_termux

  Gcc for termux with fortran scipy etc... Use apt for newest updates instructions in README.txt

  Language:C4624015774

• osmocom/osmocom-bb

  Mobile Statuion side GSM implementation; mirrored from https://gitea.osmocom.org/phone-side/osmocom-bb

  Language:C294450136

• neurogym/neurogym

  A curated collection of neuroscience tasks with a common interface.

  Language:Python248132750

• nvllsvm/freecyngn

  A small tool to remove proprietary parts from CyanogenMod 13

  Language:Shell126282710

• asnelt/mixedvines

  Python package for canonical vine copula trees with mixed continuous and discrete marginals

  Language:Python47229

• bryanlimy/V1T

  Code for "V1T: Large-scale mouse V1 response prediction using a Vision Transformer"

  Language:Jupyter Notebook20565

• asnelt/mmae

  Package for Multimodal Autoencoders in TensorFlow / Keras

  Language:Python182512

• asnelt/MixedVineToolbox

  Matlab toolbox for canonical vine copula trees with mixed continuous and discrete marginals

  Language:MATLAB15107

• asnelt/derandom

  Android pseudo random number predictor

  Language:Java13112

• NinelK/CopulaGP

  Copula-GP model

  Language:Jupyter Notebook13313

• GrapheneOS-Archive/kernel_google_marlin

  Pixel and Pixel XL kernel sources.

  Language:C114010

• GrapheneOS-Archive/device_google_marlin

  Pixel and Pixel XL device sources.

  Language:C++7308

• bryanlimy/ViV1T

  Code for the 🥉 ViV1T submission in the NeurIPS Sensorium 2023 challenge.

  Language:Python6304

• asnelt/rrep

  Recursive pattern replacement utility

  Language:C3100

• asnelt/DCGAN-tensorflow

  A tensorflow implementation of Deep Convolutional Generative Adversarial Networks

  Language:JavaScript2310

• manuelmolano/IJD

  Matlab implementation of the Information Jitter Derivative (IJD) method, which allows to decompose the information encoded in the temporal structure of a spike train into the unique, complementary information contained in its different temporal scale components

  Language:MATLAB230

• manuelmolano/metaToolBox

  Language:Matlab220

• ahcheriet/mixedvines

  Python package for canonical vine copula trees with mixed continuous and discrete marginals

  Language:Python10