derekgrant Goto Github PK
Name: Derek Grant
Type: User
Company: University of Liverpool
Bio: PhD candidate of University of Liverpool
Name: Derek Grant
Type: User
Company: University of Liverpool
Bio: PhD candidate of University of Liverpool
Code release for NeRF (Neural Radiance Fields)
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Efficient Image Captioning code in Torch, runs on GPU
Collecting papers about new view synthesis
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)
Normal Map Generator using python
百度飞桨示例
Standard PBR shader written in Unity Cg
Python Library for Probabilistic Graphical Models
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
code for our CVPR 2020 paper "PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes"
IPython notebooks for "Principles of Data Science" by Sinan Ozdemir, published by Packt.
Chinese Material to Support the Learning
Pytorch implementation of the paper Iterative fully convolutional neural networks for automatic vertebra segmentation accepted in MIDL2018.
Life-long learning for sentiment analysis, supporting Vietnamese and English
北航大数据高精尖中心研究张日崇团队对问答系统的调研。包括知识图谱问答系统(KBQA)和文本问答系统(TextQA),每类系统分别对学术界和工业界进行调研。
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
Recognize named entities with LSTMs
App of RTR, PTR and Editor
Code and dataset for our paper "Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification", AAAI2020
This is Demo For Restaurant Android App.
Parallelized triangle mesh --> continuous signed distance field on CPU
Lifelong machine learning is a novel machine learning paradigm which continually learns tasks and accumulates knowledge for reusing. The knowledge extracting and reusing abilities enable the lifelong machine learning to understand the knowledge for solving a task and obtain the ability to solve the related problems. In sentiment classification, traditional approaches like Naïve Bayes focus on the probability for each words with positive or negative sentiment. However, the lifelong machine learning in this paper will investigate this problem in a different angle and attempt to discover which words determine the sentiment of a review. We will pay all attention to obtain knowledge during learning for future learning rather than just solve a current task.
SentiBridge: A Knowledge Base for Entity-Sentiment Representation
A Python Implementation of Simhash Algorithm
Part1 : Data Feature extraction, and visualization using PCA Part 2: Supervised learning: Naive Bayes Classification and logistic regression Part 3: K means clustering and anomaly detection
Spine Vertebrae Landmark Detection
Python utilities for reading the STL-10 dataset: http://cs.stanford.edu/~acoates/stl10/
StyTr2 : Image Style Transfer with Transformers
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.