403 Open source projects that are alternatives of or similar to Amgx

Burstcoin C++ CPU and GPU Miner

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Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

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Domain-invariant Stereo Matching Networks

Extension package for spatial propagation network in pytorch.

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a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version

Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

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Numerical linear algebra software package

DaCe - Data Centric Parallel Programming

Deforming kernels to adapt towards object deformation. In ICLR 2020.

Fast CUDA Kernels for ResNet Inference.

A dataset of 15 million CAD sketches with geometric constraint graphs.

Deep.Net machine learning framework for F#

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A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

QUDA is a library for performing calculations in lattice QCD on GPUs.

This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.

Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer

Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line

OneFlow is a performance-centered and open-source deep learning framework.

MatConvNet: CNNs for MATLAB

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Deep Learning library using GPU(CUDA/cuBLAS)

NCCL Tests

Weighted Softmax Loss Layer for Caffe

Fast inference engine for OpenNMT models

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Examples of C# code compiled to GPU by hybridizer

A community run, 5-day PyTorch Deep Learning Bootcamp

Fast Neural Machine Translation in C++ - development repository

pytorch knn [cuda version]

PyTorch 1.0 implementation of the approximate Earth Mover's Distance

Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search

A CUDA Extension of Neural Network Libraries

Self-hosted NVR with object detection

Some CUDA design patterns and a bit of template magic for CUDA

LLVM backend for Accelerate

Julia wrapper for CUDA runtime API

A Neural Network Toolkit.

An extensible HPC framework for CUDA, OpenCL and native CPU.

The C++ Standard Library for your entire system.

The source code of ECCV16 'Deep Joint Image Filtering'.

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Execution primitives for C++

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Modular C++ Toolkit for Performance Analysis and Logging. Profiling API and Tools for C, C++, CUDA, Fortran, and Python. The C++ template API is essentially a framework to creating tools: it is designed to provide a unifying interface for recording various performance measurements alongside data logging and interfaces to other tools.

gmonitor is a GPU monitor (Nvidia only at the moment)

Clojure library for CUDA development

kaldi-asr/kaldi is the official location of the Kaldi project.