Pinned Repositories
ASH
The Demo code for: Ash: Animatable gaussian splats for efficient and photoreal human rendering (CVPR 2024)
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
ComfyUI-champWrapper
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
course-v3
The 3rd edition of course.fast.ai
dataset-tools
Tools for quickly normalizing image datasets
Deep-Image-Matting
a pytorch implemenation for Deep Image Matting paper
deep-transfer
PyTorch implementation of "Universal Style Transfer via Feature Trasforms"
dlportfolio
Deep learning portfolio
fastai
The fast.ai deep learning library, lessons, and tutorials
road_of_gan
lognat0704's Repositories
lognat0704/fastai
The fast.ai deep learning library, lessons, and tutorials
lognat0704/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
lognat0704/delphisurvey
delphisurvey
lognat0704/DLProtfolio
Demos for my DL muscles
lognat0704/fashion-detection
Fashion Detection in the Wild (Deep Clothes Detector)
lognat0704/GANotebooks
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
lognat0704/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
lognat0704/ipython-notebooks
A collection of IPython notebooks covering various topics.
lognat0704/Machine-Learning
lognat0704/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
lognat0704/Progressive-Growing-Of-GANs-Pytorch-
Progressively growing of GANs Pytorch Implementation
lognat0704/python4ml
Machine Learning Notebooks
lognat0704/pytorch-GAN
A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks
lognat0704/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
lognat0704/SN-GAN
pyTorch implementation of Spectral Normalization for Generative Adversarial Networks
lognat0704/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.