Popular GitHub Repositories for Cmsis Nn

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Publication-ready NN-architecture schematics.

Plain python implementations of basic machine learning algorithms

Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.

:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.

Ruby library for interfacing with FANN (Fast Artificial Neural Network)

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Neural Network in Rust

[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."

Deep Learning Deployment Framework: Supports tf/torch/trt/trtllm/vllm and other NN frameworks. Support dynamic batching, and streaming modes. It is dual-language compatible with Python and C++, offering scalability, extensibility, and high performance. It helps users quickly deploy models and provide services through HTTP/RPC interfaces.

Generating Cat images using StyleGAN

NN based lossless compression

Easily convert RGB video data (e.g. .avi) to the TensorFlow tfrecords file format for training e.g. a NN in TensorFlow. This implementation allows to limit the number of frames per video to be stored in the tfrecords.