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Name: Wayne
Type: User
Company: UESTC
Bio: Ph.D
Name: Wayne
Type: User
Company: UESTC
Bio: Ph.D
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
An open source implementation of CLIP.
Open Source Computer Vision Library
Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API, with examples for: Face Detection, Machine Learning, Deep Neural Nets, Hand Gesture Recognition, Object Tracking, Feature Matching, Image Histogram
Open Source Neural Machine Translation in PyTorch
OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation
Instant voice cloning by MyShell.
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
A test case for python and matlab evaluation codes, for person re-identification
Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.
This repository provides training and evaluation code for paper titled "Polar Loss for Zero-Shot Object Detection."
Source code of Universal Weighting Metric Learning for Cross-Modal Matching. The paper is accepted by CVPR2020.
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
A re-implementation of "Prototypical Networks for Few-shot Learning"
Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers
Graph Convolutional Networks in PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Yet Another Implimentation of Pytroch 0.4 and YoloV3 on python3
A PyTorch implementation for Adversarial Discriminative Domain Adaptation
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
Some custom dataset examples for PyTorch
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
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.