415 Open source projects that are alternatives of or similar to Softmax Splatting

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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):

A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)

Distributed multigrid linear solver library on GPU

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

A Neural Network Toolkit.

Fully Convolutional Instance-aware Semantic Segmentation

Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU

oneAPI Math Kernel Library (oneMKL) Interfaces

A Simple & Flexible Cross Framework Operators Toolkit

A suite of benchmarks to test the sequential CPU and GPU performance of most popular high-performance libraries for Python.

SDK for GPU accelerated genome assembly and analysis

TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA

Clojure library for CUDA development

A C++ Cuda Tensor Lazy Computing Library

Examples of C# code compiled to GPU by hybridizer

Extension package for spatial propagation network in pytorch.

A structured light scanner

Deep learning with cats (^._.^)

💥💻💥 A data-parallel functional programming language

CUDA Matrix Factorization Library with Alternating Least Square (ALS)

A complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.

Build userspace NVMe drivers and storage applications with CUDA support

A binary library for very fast face detection using compact CNNs.

DaCe - Data Centric Parallel Programming

Super simple & easy Windows 10 cryptocurrency miner made by NiceHash.

Fast CUDA Kernels for ResNet Inference.

Deep.Net machine learning framework for F#

Burstcoin C++ CPU and GPU Miner

Extending JAX with custom C++ and CUDA code

CNN accelerated by cuda. Test on mnist and finilly get 99.76%

[ARCHIVED] C GPU DataFrame Library

Weighted MinHash implementation on CUDA (multi-gpu).

A simple GPU hash table implemented in CUDA using lock free techniques

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.

A real time optical flow algorithm implemented on GPU

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

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

MatConvNet: CNNs for MATLAB

Python library for Room Impulse Response (RIR) simulation with GPU acceleration

Deep Learning library using GPU(CUDA/cuBLAS)

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

Weighted Softmax Loss Layer for Caffe

Molecular dynamics and Monte Carlo soft matter simulation on GPUs.

ThunderSVM: A Fast SVM Library on GPUs and CPUs

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

A community run, 5-day PyTorch Deep Learning Bootcamp

A library for high performance deep learning inference on NVIDIA GPUs.

custom opencv_contrib module which exposes opencv cuda optical flow methods with python bindings

pytorch knn [cuda version]

Self-hosted NVR with object detection

A C++ Compute/Graphics Library and Toolchain enabling same-source CUDA/Host/Metal/OpenCL/Vulkan C++ programming and execution.

Fast inference engine for OpenNMT models

Reference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)

PyTorch 1.0 implementation of the approximate Earth Mover's Distance

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