1245 Open source projects that are alternatives of or similar to Bottleneck Transformer Pytorch

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

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

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

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

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

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

🤖 The Cocoa Artificial Intelligence Lab

Implementation of the Point Transformer layer, in Pytorch

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

a collection of visualization function

Efficient Learning of Augmentation Policy Schedules

Fuse multiple depth frames into a TSDF voxel volume.

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

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.

Reformer, the efficient Transformer, in Pytorch

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

Implementation of Slot Attention from GoogleAI

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

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

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

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

My take on a practical implementation of Linformer for Pytorch.

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

CNN image classifier implemented in Keras Notebook 🖼️.

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

Deep Learning Computer Vision Algorithms for Real-World Use

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

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

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

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

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

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

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

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

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

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

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

Fully featured implementation of Routing Transformer

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

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

Deep learning codes and projects using Python

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

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

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

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

Action recognition using soft attention based deep recurrent neural networks

Brevitas: quantization-aware training in PyTorch

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.

Collection of useful data science topics along with code and articles

🤖 Chatbot Framework for Node.js.

PyTorch - Python + Nim

A flexible artificial neural network builder to analyse performance, and optimise the best model.

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Python Examples for Remote Sensing