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Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
LLaMa/RWKV onnx models, quantization and testcase
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
基于LSTM神经网络的时间序列预测
Minimal, clean example of lstm neural network training in python, for learning purposes.
Experiments in climatological time series analysis using deep learning
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Using LSTM network for time series forecasting
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
Towards Local Visual Modeling for Image Captioning
《机器学习实战》python3源码
Data&code for Machine-Learning-in-Action by Python3 | 《机器学习实战》数据与Python3源码:cat2:
Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
My blogs and code for machine learning. http://cnblogs.com/pinard
自然语言处理工具Macropodus,基于Albert+BiLSTM+CRF深度学习网络架构,中文分词,词性标注,命名实体识别,新词发现,关键词,文本摘要,文本相似度,科学计算器,中文数字阿拉伯数字(罗马数字)转换,中文繁简转换,拼音转换。tookit(tool) of NLP,CWS(chinese word segnment),POS(Part-Of-Speech Tagging),NER(name entity recognition),Find(new words discovery),Keyword(keyword extraction),Summarize(text summarization),Sim(text similarity),Calculate(scientific calculator),Chi2num(chinese number to arabic number)
Markov chain text generator, as used for KingJamesProgramming
A simple Keras implementation of Paper "Text Matching as Image Recognition"
MatchPyramid 文本匹配模型
An pytorch implementation of MatchPyramid "Text Matching as Image Recognition"
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
An official implementation for "Knowing What to Learn: A Metric-Oriented Focal Mechanism for Image Captioning"
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
摩拜单车爬虫
模型服务部署 Demo
ModelScope-Agent(开源版GPTs): An agent framework connecting models in ModelScope with the world
paper:Multi-Scale Dense Networks for Hyperspectral Remote Sensing Image Classification
an implementation of "A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations" in tensorflow
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.