631 Open source projects that are alternatives of or similar to wechsel

tensorflow deep RL for driving a rover around

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

Neural Paiters

Automated coding using machine-learning and remapping the U.S. nonprofit sector: A guide and benchmark

国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)

Bottleneck Transformers for Visual Recognition

Transfer Learning Toolkit for Primary Researchers

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

Real-time AI-powered translation of American sign language to text

High Quality Monocular Depth Estimation via Transfer Learning

A toolkit for neural language modeling using Tensorflow including basic models like RNNs and LSTMs as well as more advanced models.

Gradients as Features for Deep Representation Learning

Further developed as SyntaxDot: https://github.com/tensordot/syntaxdot

基于bert4keras的GLUE基准代码

支持rasa-nlu 的bert finetune

Keras implementation of BERT with pre-trained weights

Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）

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 list of wonderful open-source projects & applications integrated with Hugging Face libraries.

Transfer-Learning-Library

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Federated Learning Library: https://fedml.ai

📃Language Model based sentences scoring library

Neural Relation Understanding: neural cardinality estimators for tabular data

Flexible components pairing 🤗 Transformers with Pytorch Lightning

A collection of Danish Transformers

🤖 Cozmo the Robot recognizes objects with TensorFlow

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

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

🧑‍🏫 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, ... 🧠

Transfer Learning Library

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

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

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs

A BERT-based reverse dictionary of Korean proverbs

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Demo code for Attention-Aware Generative Adversarial Networks paper

Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Reformer, the efficient Transformer, in Pytorch

Implementation of ULMFit algorithm for text classification via transfer learning

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

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

A Framework for Textual Entailment based Zero Shot text classification

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

24-hour Automatic Speech Recognition

A collection of AWESOME things about domian adaptation

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

吹逼我们是认真的

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

A guide to transfer learning with inception-resnet-v2.

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)