Maschinelles Lernen · GitHub

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

code and docs for the EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs

• Converting a pytorch model to caffe model.
• Some convenient tools of manipulate caffemodel and prototxt quickly(like get or set weights of layers).

PyTorch Implementation of MVSNet

My notes / works on deep learning from Coursera

Practical guides for starting a PhD, a master or an undergraduate thesis in ML/NLP.

A stock trading bot that uses machine learning to make price predictions.

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

Example applications using the onnxruntime_go library.

Research on Tabular Deep Learning: Papers & Packages

[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.