aissak21

aissak21's Stars

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.8k164

• AndrewSpano/Disentangled-Variational-Autoencoder

  PyTorch Implementations of a VAE and a beta-VAE.

  Language:Jupyter Notebook5919

• aiskunks/CognitiveType

  The Cognitive Type project

  Language:Jupyter Notebook62

• rasmusbergpalm/vnca

  Language:Python487

• prusa3d/PrusaSlicer

  G-code generator for 3D printers (RepRap, Makerbot, Ultimaker etc.)

  Language:C++7.8k1.9k

• michaelgoetze/PyGCode

  Script that introduces python functionalities into Slic3r and PrusaSlicer gcodes.

  Language:G-code4

• princeton-nlp/LM-BFF

  [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

  Language:Python721132

• huggingface/education-toolkit

  Educational materials for universities

  Language:Jupyter Notebook33667

• sokrypton/ColabFold

  Making Protein folding accessible to all!

  Language:Jupyter Notebook2k504

• chrisemezue/african-seeds-art

  African Seeds Art is committed to amplifying Indigenous African seeds through the medium of mixed media artworks. Dawa seeds which was used for this model is an African millet seed. Dawa seeds were used to create concepts in arts, and this is a source of inspiration to train the model to learn about the dawa concept to create AI artworks.

  Language:Python6

• CodedotAl/gpt-code-clippy

  Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57

  Language:Python3.3k224

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.3k3.4k

• lucidrains/DALLE-pytorch

  Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

  Language:Python5.6k643

• aladdinpersson/Machine-Learning-Collection

  A resource for learning about Machine learning & Deep Learning

  Language:Python7.7k2.7k

• commonsense/conceptnet-numberbatch

  Language:Python1.3k143

• openlists/PythonResources

  A list of openly available resources for learning and using the Python programming language.

  306

• jonbruner/generative-adversarial-networks

  Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

  Language:Jupyter Notebook537249

• yash1/mxnet-notebooks

  Notebooks for MXNet

  Language:Jupyter Notebook63

• terrybroad/network-bending

  Manipulating the inner representations of StyleGAN2

  Language:Python10311

• kang205/DVBPR

  Personalized Fashion Recommendation and Generation

  Language:Python18951

• carpedm20/DCGAN-tensorflow

  A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

  Language:JavaScript7.2k2.6k

• reedscot/icml2016

  Generative Adversarial Text-to-Image Synthesis

  Language:Lua913215

• commonsense/conceptnet5

  Code for building ConceptNet from raw data.

  Language:Roff2.8k356

• fchollet/ARC-AGI

  The Abstraction and Reasoning Corpus

  Language:JavaScript3.6k596

• diegoalejogm/gans

  Generative Adversarial Networks implemented in PyTorch and Tensorflow

  Language:Jupyter Notebook836350

• luisguiserrano/gans

  GANs in slanted land

  Language:Jupyter Notebook249155

• hindupuravinash/the-gan-zoo

  A list of all named GANs!

  Language:Python14.3k2.6k

• Shwetago/Generative-model-using-PyTorch

  Generate dogs images using DCGAN in PyTorch. https://medium.com/@shwetagoyal41/gans-a-brief-introduction-to-generative-adversarial-networks-f06216c7200e

  Language:Jupyter Notebook85

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.5k4.1k

• 9310gaurav/virtual-adversarial-training

  Pytorch implementation of Virtual Adversarial Training

  Language:Python13320