MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
MIT License
Hummingbird compiles trained ML models into tensor computation for faster inference.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using S...
Tutel MoE: An Optimized Mixture-of-Experts Implementation
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
[CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and la...
An algorithm for cross-domain NL2SQL
Large-scale pretraining for dialogue
Samples and Tools for Windows ML.
Foundation Architecture for (M)LLMs
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
CodeBERT
Graphormer is a general-purpose deep learning backbone for molecular modeling.
A flexible and efficient deep neural network (DNN) compiler that generates high-performance execu...
TensorFlow 2 library implementing Graph Neural Networks