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Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Deep universal probabilistic programming with Python and PyTorch
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Synthesizing and manipulating 2048x1024 images with conditional GANs
A curated list of data science blogs
Setup and customize deep learning environment in seconds.
A list of popular github projects related to deep learning
Python PDF Parser (Not actively maintained). Check out pdfminer.six.
StarGAN - Official PyTorch Implementation (CVPR 2018)
Create and modify Word documents with Python
A PyTorch Implementation of Single Shot MultiBox Detector
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Count the MACs / FLOPs of your PyTorch model.
The RedPajama-Data repository contains code for preparing large datasets for training large language models.
📊 A simple command-line utility for querying and monitoring GPU status
A tour in the wonderland of math with python.
Code and hyperparameters for the paper "Generative Adversarial Networks"
Interactive Image Generation via Generative Adversarial Networks