Dependencies are Python 3, a recent PyTorch, numpy/scipy, tqdm, future and tensorboard.
Plotting with Matplotlib.
Implementation of the neural network is in the module regretnet.
To train and test auction networks, use the scripts train.py and test.py; sample_scripts.sh gives some examples of how to invoke these.
Pretrained models are in the model directory.
This repository holds NVIDIA-maintained utilities to streamline mixed precision and distributed training in Pytorch. Some of the code here will be included in upstream Pytorch eventually. The intention of Apex is to make up-to-date utilities available to users as quickly as possible.
30 Days Of Machine Learning Using Pytorch Objective of the repository is to learn and build machine learning models using Pytorch. List of Algorithms
Pretrained SOTA Deep Learning models, callbacks and more for research and production with PyTorch Lightning and PyTorch
Amazon Forest Computer Vision Satellite Image tagging code using PyTorch / Keras Here is a sample of images we had to work with Source: https://www.ka
This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch. Feel free to make a pu
Amazon Forest Computer Vision Satellite Image tagging code using PyTorch / Keras Here is a sample of images we had to work with Source: https://www.ka
PyTorch Deep Learning Models using the C++ frontend Gettting started Clone the repo 1. https://github.com/mrdvince/pytorchcpp 2. cd fashionmnist or
PyTorch Autoencoders Implementing a Variational Autoencoder (VAE) Series in Pytorch. Inspired by this repository Model List check model paper conferen
PyTorch-LIT PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices. With
Essential BYOL A simple and complete implementation of Bootstrap your own latent: A new approach to self-supervised Learning in PyTorch + PyTorch Ligh
RealFormer-Pytorch Implementation of RealFormer using pytorch. Includes comparison with classical Transformer on image classification task (ViT) wrt C
Mixup: Beyond Empirical Risk Minimization in PyTorch This is an unofficial PyTorch implementation of mixup: Beyond Empirical Risk Minimization. The co
Pytorch-Sketch-RNN A pytorch implementation of https://arxiv.org/abs/1704.03477 In order to draw other things than cats, you will find more drawing da
Advantage async actor-critic Algorithms (A3C) in PyTorch @inproceedings{mnih2016asynchronous, title={Asynchronous methods for deep reinforcement lea
PyTorch implementation of 'Denoising Diffusion Probabilistic Models' This reposi
?? RetinaNet Horizontal Detector Based PyTorch This is a horizontal detector Ret
RETRO - Pytorch (wip) Implementation of RETRO, Deepmind's Retrieval based Attent
HashNeRF-pytorch Instant-NGP recently introduced a Multi-resolution Hash Encodin
NN Template Generic template to bootstrap your PyTorch project. Click on Use this Template and avoid writing boilerplate code for: PyTorch Lightning,
6.9k Jan 3, 2023
119 Nov 24, 2022
1.4k Jan 1, 2023
360 Dec 10, 2022
9.2k Jan 2, 2023
0 Jul 13, 2021
8 Nov 21, 2022
157 Dec 11, 2022
48 Sep 27, 2022
90 Dec 8, 2022
121 Dec 17, 2022
172 Dec 12, 2022
111 Dec 8, 2022
76 Jan 7, 2023
13 Nov 19, 2022
556 Jan 4, 2023
616 Jan 6, 2023
520 Dec 30, 2022