Pinned Repositories
ai-edge-torch
Supporting PyTorch models with the Google AI Edge TFLite runtime.
aot-benchmark
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
benchmark
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
onnx-tensorflow
Tensorflow Backend for ONNX
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
tensorflow
An Open Source Machine Learning Framework for Everyone
tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.
tfjs-license-fix
tfjs-models
Pretrained models for TensorFlow.js
torch-jax-adapter
chunnienc's Repositories
chunnienc/ai-edge-torch
Supporting PyTorch models with the Google AI Edge TFLite runtime.
chunnienc/aot-benchmark
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
chunnienc/benchmark
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
chunnienc/onnx-tensorflow
Tensorflow Backend for ONNX
chunnienc/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
chunnienc/tensorflow
An Open Source Machine Learning Framework for Everyone
chunnienc/tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.
chunnienc/tfjs-license-fix
chunnienc/tfjs-models
Pretrained models for TensorFlow.js
chunnienc/torch-jax-adapter
chunnienc/torch-mlir
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
chunnienc/torchvision
Datasets, Transforms and Models specific to Computer Vision
chunnienc/xla
Enabling PyTorch on XLA Devices (e.g. Google TPU)
chunnienc/XNNPACK
High-efficiency floating-point neural network inference operators for mobile, server, and Web