777 Open source projects that are alternatives of or similar to Bert Keras

Deep Learning Transformer models in MATLAB

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

A Robustly Optimized BERT Pretraining Approach for Vietnamese

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

Finetuning any DNN for better embedding on neural search tasks

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

Protein Language Model

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

resources for the IBM Airlines Table-Question-Answering Benchmark

PyTorch implementation of "Pyramid Scene Parsing Network".

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

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

One Person, One Model, One World: Learning Continual User Representation without Forgetting

NLP Paper

Address book for computer vision models.

Neural Machine Translation with Keras

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

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

Abstractive summarisation using Bert as encoder and Transformer Decoder

BERT for Multitask Learning

Import SVG files in your React Native project the same way that you would in a Web application.

Fine-tune pretrained Convolutional Neural Networks with PyTorch

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

Trax — Deep Learning with Clear Code and Speed

This repo contains implementation of different architectures for emotion recognition in conversations.

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译 Chinese Translation!

Deep Reinforcement Learning for Keras.

A deep neural network that learns to drive in video games

Official Pytorch implementation of CutMix regularizer

中文 Python 笔记

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

A collection of view pager transformers

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Natural Language Processing Best Practices & Examples

an open-source implementation of sequence-to-sequence based speech processing engine

Keras package for region-based convolutional neural networks (RCNNs)

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

Real-time pose estimation accelerated with NVIDIA TensorRT

GPU-accelerated Deep Learning on Windows 10 native

Federated Learning Library: https://fedml.ai

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

📖 The library for creating book and card flip animations in ViewPager in Android

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Simple transformer implementation from scratch in pytorch.

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

LightSeq: A High Performance Inference Library for Sequence Processing and Generation

高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA

list of efficient attention modules

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

Data repository for pretrained NLP models and NLP corpora.