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Name: Rick Sanchez
Type: User
Location: Hong Kong
Name: Rick Sanchez
Type: User
Location: Hong Kong
Adaptive Risk Parity strategy for 3x leveraged ETF
introduction to algorithm example
Apache Spark in 24 Hours, Sams Teach Yourself
automl example
Using a pretrained wikitext language model and its embedding to create a sentiment classifier for IMDB movie review.
Collection of all language dataset for finetuning LLM
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
kaggle categorical competition
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
中文LLaMA&Alpaca大语言模型+本地部署 (Chinese LLaMA & Alpaca LLMs)
myexercises
Challenge myself on kata, created by the community to strengthen different skills. Master current language of choice, or expand understanding of a new one.
About this Course Machine learning is one of the fastest-growing and most exciting fields out there, and deep learning represents its true bleeding edge. In this course, you'll develop a clear understanding of the motivation for deep learning, and design intelligent systems that learn from complex and/or large-scale datasets. We'll show you how to train and optimize basic neural networks, convolutional neural networks, and long short term memory networks. Complete learning systems in TensorFlow will be introduced via projects and assignments. You will learn to solve new classes of problems that were once thought prohibitively challenging, and come to better appreciate the complex nature of human intelligence as you solve these same problems effortlessly using deep learning methods. We have developed this course with Vincent Vanhoucke, Principal Scientist at Google, and technical lead in the Google Brain team. **Note: This is an intermediate to advanced level course offered as part of the Machine Learning Engineer Nanodegree program. It assumes you have taken a first course in machine learning, and that you are at least familiar with supervised learning methods.
Implementation of efficientnet in fastai
Using pure python and pytorch to rebuild Fast.ai library
Gamma Radiation Classifier and use Genetic Programming to pick the best Machine Learning model + hyper-parameters FOR US in 40 lines of Python.
A llama.cpp drop-in replacement for OpenAI's GPT endpoints, allowing GPT-powered apps to run off local llama.cpp models instead of OpenAI.
Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
A data downloader of Hong Kong Economic indicator. This includes HK Housing price (Centa-City Leading Index), HK GDP, HK Inflation, HSI, HK Unemployment, Chinese housing price, Chinese GDP, Chinese Inflation, CSI300, SP500, US interest, USD:RMB
Using Linear Support Vector Classification to analyze individual stock from Hong Kong
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.