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Working examples of Python, C++, C and JS new features
Metabuli: specific and sensitive metagenomic classification via joint analysis of DNA and amino acid.
A C++ standalone library for machine learning
Model parallel transformers in JAX and Haiku
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
GO implementation of the Terra Protocol
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
header only, dependency-free deep learning framework in C++14
Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness,…
all methods of pytorch quantization based on resnet50
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
Framework to easily implement decentralized peer-to-peer network applications in Python
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
A list of awesome compiler projects and papers for tensor computation and deep learning.
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.