492 Open source projects that are alternatives of or similar to trapper

Implementation of the paper Video Action Transformer Network

Trained T5 and T5-large model for creating keywords from text

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

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Contextualised Embeddings and Language Modelling using BERT and Friends using R

Label data using HuggingFace's transformers and automatically get a prediction service

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Rank 1 / 216

PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇

Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch

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

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

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

Tutel MoE: An Optimized Mixture-of-Experts Implementation

Summary of Transformer applications for computer vision tasks.

Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

Load What You Need: Smaller Multilingual Transformers for Pytorch and TensorFlow 2.0.

Transfromer tensorflow2.0版本实现

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Simple transformer implementations that I can understand

Korean speech recognition based on transformer (트랜스포머 기반 한국어 음성 인식)

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Transformers Pipeline with KoELECTRA

Text Classification in Turkish Texts with Bert

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer

An Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统，一键部署微信闲聊机器人)

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

Custom Natural Language Processing with big and small models 🌲🌱

Neutron: A pytorch based implementation of Transformer and its variants.

General Multi-label Image Classification with Transformers

Using LSTM or Transformer to solve Image Captioning in Pytorch

Bangla-Bert is a pretrained bert model for Bengali language

HAL+JSON & HAL+XML API transformer outputting valid (PSR-7) API Responses.

Text2Text: Cross-lingual natural language processing and generation toolkit

End-to-end Temporal Action Detection with Transformer. [Under review for a journal publication]

A library for finding knowledge neurons in pretrained transformer models.

Embedding模型代码和学习笔记总结

Deploy transformers serverless on AWS Lambda

Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.

a simple and complete pytorch implementation of neural machine translation system

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

A python library that makes AMR parsing, generation and visualization simple.

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.

A package for fine-tuning Transformers with TPUs, written in Tensorflow2.0+

Utility for analyzing Transformer based representations of language.

Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

Laravel5 JSONAPI and Dingo together to build APIs fast

Zero administration inference with AWS Lambda for 🤗

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

Unofficial implementation of MaX-DeepLab for Instance Segmentation

RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR 2021)

🌏 A zero-dependency networking solution for building modern and secure iOS, watchOS, macOS and tvOS applications.

Research code for generating semantic role labels for CHILDES

🚀 A demonstration of hyperparameter optimization using Optuna for models implemented with AllenNLP.