Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Cluster scheduling, GPU sharing, serverless compute and the distributed execution layer.
Signals: gpu, cuda, distributed-computing, kubernetes, ray, slurm, serverless, hpc
662 results
This repository contains information about Cloud GPU offerings for Machine Learning practitioners.
A machine learning library for Rust.
Prophecis is a one-stop cloud native machine learning platform.
Reliable Allreduce and Broadcast Interface for distributed machine learning
⚠️DirectML is in maintenance mode ⚠️ DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
The Hacker's Machine Learning Engine
Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning
A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory
A fast Clojure Tensor & Deep Learning library
AI Infra主要是指AI的基础建设，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术。
Open, Modular, Deep Learning Accelerator
Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision
🔥🔥🔥AidLearning is a powerful AIOT development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports CPU+GPU+NPU for inference with high performance acceleration...Linux on Android or HarmonyOS
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
Instructions for setting up the software on your deep learning machine
Benchmarking Deep Learning operations on different hardware
Distributed Deep learning with Keras & Spark
No description
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Enabling Flexible FPGA High-Level Synthesis of Tensorflow Deep Neural Networks
Open source neural network chess engine with GPU acceleration and broad hardware support.
24,523 repositories in the index in total.
