Kublai-Jing's repositories
data-science-blogs
A curated list of data science blogs
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
DeepKE
An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.
jupyter_tips
jupyter_tips
langchain
⚡ Building applications with LLMs through composability ⚡
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
minerva
Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.
mlflow
Open source platform for the machine learning lifecycle
mxnet
Efficient and Flexible Distributed Deep Learning Framework, for python, R, Julia and more
NCEM
Implementation of the paper "Neural Conditional Energy Models for Multi-Label Classification", ICDM 2014
NRLPapers
Must-read papers on network representation learning (NRL)/network embedding (NE)
TestPush
TestPush