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✨✨Latest Advances on Multimodal Large Language Models
Let your Claude able to think
Codebase for Aria - an Open Multimodal Native MoE
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
An Industrial Graph Neural Network Framework
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
HMS Site Kit demo provides an example of intergrating HMS Core Site Android SDK. your app can provide users with convenient and secure access to diverse, place-related services.
HMS Map Kit demo provides an example of intergrating HMS Map Android SDK. Personalizing how your map displays and interacts with your users tailors their experience to them
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Sequential Event Experiment based on Travel note crawled from XieCheng，基于50W携程出行游记的采集与顺承事件图谱构建．
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White
A complete computer science study plan to become a software engineer.
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
A curated list of awesome places to learn and/or practice algorithms.
Decision under uncertainty using Markov Decision Process
Implement rtree range queries and nearest neighbour queries
linux c programming, threads, processes and synchronization in linux
java, discrete map search, uniform cost search algorithm
Using rapidly exploring random tree to solve high-dimension motion planning problems
houshd / LSTM-FCN
Forked from titu1994/LSTM-FCNCodebase for the paper LSTM Fully Convolutional Networks for Time Series Classification