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Unsupervised Feature Learning via Non-parametric Instance Discrimination
Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Winner solution to Generic Event Boundary Captioning task in LOVEU Challenge (CVPR 2023 workshop)
Models and examples built with TensorFlow
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
[Preprint] Neighborhood Attention Transformer
A personal paper list
good good study, day day up
An implementation of Performer, a linear attention-based transformer, in Pytorch
Must-read Papers on pre-trained language models.
Code for CELL-E: Biological Zero-Shot Text-to-Image Synthesis for Protein Localization Prediction
Graph Convolutional Networks in PyTorch
A Python wrapper for Kaldi
Python code for "Machine learning: a probabilistic perspective"
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Recognition to Cognition Networks (code for the model in "From Recognition to Cognition: Visual Commonsense Reasoning", CVPR 2019)
Right-size my figures
RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR2021)
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
A latent text-to-image diffusion model
Basic soft-margin kernel SVM implementation in Python
Pytorch implementation for our NeurIPS 2019 paper "TAB-VCR: Tags and Attributes based VCR Baselines" https://128.84.21.199/abs/1910.14671
Code of the Unsupervised Traffic Accident Detection paper in Pytorch.
only for illustration
This repository contains paper and code links of the Text Generation Metrics studies.
Visual Semantic Relatedness Dataset for Image Captioning. https://arxiv.org/abs/2301.08784
Code for our ICML 2019 paper "Temporal Gaussian Mixture Layer for Videos"
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
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.