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Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
Advanced Data Structures Implementation
We extend CoT data to Alpaca to boost its reasoning ability. We are constantly expanding our collection of instruction-tuning data. The instruction collection can be found at https://huggingface.co/datasets/QingyiSi/Alpaca-CoT/tree/main (我们将CoT数据扩展到Alpaca以提高其推理能力,同时我们将不断收集更多的instruction-tuning数据集。)
Official PyTorch implementation of "ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows"
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
A collection of AWESOME things about domian adaptation
Collection for Few-shot Learning
Awesome person re-identification
Awesome Person Re-Identification
A curated list of awesome self-supervised methods
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Awesome Transformers (self-attention) in Computer Vision
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)
BCDU-Net : Medical Image Segmentation
A PyTorch implementation of "Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation"
Cancer Drug Response prediction using a Recommender System
PyTorch reimplementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".
[ACCV2022](What Role Does Data Augmentation Play in Knowledge Distillation ?) This repoditory is about the analysis of JDA and the implementation of CCD
Official and maintained implementation of the paper "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures" [BIBM 2020].
A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.
(ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".
This repository is used to provide a code base for PyTorch-based training framework
Official implementation of Cold-Diffusion for different transformations in pytorch.
Making large AI models cheaper, faster and more accessible
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.