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api

autoke

An automatic knowledge embedding framework for scientific machine learning

autokg

AutoKG: An automatic and efficient physics-informed machine learning framework for knowledge embedding

coursera-ml-andrewng-notes

Code for ML-AndrewNg-Notes

deep-learning

Homework for Deep learning

deeplearning.ai

Materials from deeplearning.ai course on Coursera

discover

Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning

distributed-pytorch

modified version of src

learngit

machine_learningtaida_homework

multi_class_multi_label_classification

Multi-Class and Multi-Label Classification

openaiapibase

pytorch-multigpu

Multi GPU Training Code for Deep Learning with PyTorch

question-abstract

rdiscover

tgdlf

Theory-guided deep-learning load forecasting is a short-term load forecasting model that combines domain knowledge and machine learning algorithms.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow