336 Open source projects that are alternatives of or similar to lambda.pytorch

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

Multi-head attention in PyTorch

nlp lecture-notes and source code

Bottleneck Transformers for Visual Recognition

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

Compare neural networks by their feature similarity

PyTorch implementation of EfficientNetV2 family

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

73.6% GhostNet 1.0x pre-trained model on ImageNet

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

A Pytorch Implementation of Attentive Neural Process

A collection of SOTA Image Classification Models in PyTorch

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

Recalling node properties from a knowledge graph

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

Pytorch code to generate adversarial examples on mnist and ImageNet data.

ImageNet model implemented using the Keras Functional API

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

Autoencoder trained on ImageNet Using Torch 7

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

An Open-Source Framework for Prompt-Learning.

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Attention-based View Selection Networks for Light-field Disparity Estimation

Predict materials properties using only the composition information!

Implementation of the paper "Shapley Explanation Networks"

Code for "Free-Lunch Saliency via Attention in Atari Agents"

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

Enhanced BiLSTM Inference Model for Natural Language Inference

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

采用深度学习方法进行刀具识别。

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

Etiketai is an online tool designed to label images, useful for training AI models

Attentional Learning of Trash Classification

Predicting protein structure through sequence modeling

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

JavaScript/WebGL lib: detect if the user is looking at the screen or not from the webcam video feed. Lightweight and robust to all lighting conditions. Great for play/pause videos if the user is looking or not, or for person detection. Link to live demo.

No description or website provided.

一套友好的、方便集成的针对cell的左滑编辑功能！

Scripts to work with LMDB + PyTorch for Imagenet training

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

🧪 Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)

Unofficial TensorFlow implementation of "AlexNet" architecture.

Parametric Contrastive Learning (ICCV2021)

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

Easily train or fine-tune SOTA computer vision models with one open source training library

Xception implemented with caffe

Training Low-bits DNNs with Stochastic Quantization

NLP: Relation extraction with position-aware self-attention transformer

Selective Classification For Deep Neural Networks.

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

A PyTorch Implementation of "Attention Is All You Need"