zemariamm's Stars
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
jupyter/jupyter
Jupyter metapackage for installation, docs and chat
AliaksandrSiarohin/first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
hindupuravinash/the-gan-zoo
A list of all named GANs!
phillipi/pix2pix
Image-to-image translation with conditional adversarial nets
amitness/learning
A log of things I'm learning
affinelayer/pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
lucidrains/stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
naiveHobo/InvoiceNet
Deep neural network to extract intelligent information from invoice documents.
microsoft/USBuildingFootprints
Computer generated building footprints for the United States
timoschick/pet
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
yuanming-hu/exposure
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
gdb/kaggle
A collection of Kaggle solutions. Not very polished.
nicolas-gervais/predicting-car-price-from-scraped-data
Picture and specifications scraper
gordicaleksa/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.
gordicaleksa/pytorch-deepdream
PyTorch implementation of DeepDream algorithm (Mordvintsev et al.). Additionally I've included playground.py to help you better understand basic concepts behind the algo.
google-deepmind/spiral
We provide a pre-trained model for unconditional 19-step generation of CelebA-HQ images
ML-KULeuven/problog
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
Onr/Council-GAN
Implementation for our paper Breaking the Cycle - Colleagues are all you need (CVPR 2020)
shreyas-bk/u2netdemo
Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.
timoschick/fewglue
This repository contains the FewGLUE dataset for few-shot natural language understanding.
tmabraham/UPIT
A fastai/PyTorch package for unpaired image-to-image translation.
valentinvieriu/stylegan2
StyleGAN2 - Official TensorFlow Implementation with practical improvements
robgon-art/MachineRay
This is a project that uses AI to create abstract art. It is released under the CC BY-NC-SA license. See License.txt for details.
ai-systems/DILP-Core
Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Journal of Artificial Intelligence Research 61 (2018): 1-64.
f90/FactorGAN
FactorGAN - Training GANs with missing data
MAlberts99/PyTorch-AdaIN-StyleTransfer
This project is an unofficial implementation of the paper: Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
crunchiness/lernd
Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
pvcastro/BERT-Relation-Extraction
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper