MotJuMi's Stars
tristandeleu/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
vsitzmann/siren
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
tancik/fourier-feature-networks
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
francoispierrepaty/Teaching_SOADML
Repo for the course "Stochastic Optimization and Automatic Differentiation for Machine Learning" at ENSAE ParisTech.
fatemehazimi990/Pytorch-VideoFlow
A pytorch implementation of https://arxiv.org/abs/1903.01434
ternaus/kaggle_alaska_2
https://www.kaggle.com/c/alaska2-image-steganalysis
didriknielsen/pixelcnn_flow
Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
iamtrask/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
alexeykarnachev/full_stack_transformer
Pytorch library for end-to-end transformer models training, inference and serving
eemlcommunity/PracticalSessions2020
Repository for tutorial sessions at EEML2020
nassma2019/PracticalSessions
NASSMA summer school practicals
dobriban/Topics-in-deep-learning
Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
anshuln/ImprovedFlowNetworks
Some tricks to improve normalizing flows
aresPanos/dmgp_dfgp_regression
google-deepmind/acme
A library of reinforcement learning components and agents
jaanli/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
bonlime/pytorch-tools
Tool box for PyTorch
higgsfield/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
NVlabs/FUNIT
Translate images to unseen domains in the test time with few example images.
sudharsan13296/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
facebookresearch/higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
balansky/pytorch_gan
Spectral Normalization and Projection Discriminator
pfnet-research/sngan_projection
GANs with spectral normalization and projection discriminator
facebookresearch/fvcore
Collection of common code that's shared among different research projects in FAIR computer vision team.
izmailovpavel/understandingbdl