1233 Open source projects that are alternatives of or similar to Vit Pytorch

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

Reformer, the efficient Transformer, in Pytorch

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

Implementation of Bottleneck Transformer in Pytorch

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

An easy to use C# deep learning library with CUDA/OpenCL support

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

An AI based application to identify currency and gives audio feedback.

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

My take on a practical implementation of Linformer for Pytorch.

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

Implementation of Slot Attention from GoogleAI

Implementation of the Point Transformer layer, in Pytorch

A simple but complete full-attention transformer with a set of promising experimental features from various papers

Transformer based on a variant of attention that is linear complexity in respect to sequence length

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

Fully featured implementation of Routing Transformer

CNN image classifier implemented in Keras Notebook 🖼️.

Deep learning codes and projects using Python

Bottleneck Transformers for Visual Recognition

Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch

Deep Learning Computer Vision Algorithms for Real-World Use

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

An implementation of Performer, a linear attention-based transformer, in Pytorch

Efficient Learning of Augmentation Policy Schedules

Best Practices, code samples, and documentation for Computer Vision.

High-performance Vision library in Python. Scale your research, not boilerplate.

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

A library for transfer learning by reusing parts of TensorFlow models.

AI Automated Planning with STRIPS and PDDL in Node.js

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

A list of popular deep learning models related to classification, segmentation and detection problems

Cryptocurrency Price Prediction Using LSTM neural network

An on-premises, bare-metal solution for deploying GPU-powered applications in containers

🦄 An Artificial Inteligence to teach Google's Dinosaur to jump cactus

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

The collaborative real-time open-source machine learning devtool and training suite: Experiment execution, tracking, and debugging. With server and project management tools.

Machine learning resources

Dream to Control: Learning Behaviors by Latent Imagination