677 Open source projects that are alternatives of or similar to Kelpnet

Experimental OpenCL voxel rendering/raymarching via Clojure REPL (from 2013)

Monitor your GPUs whether they are on a single computer or in a cluster

🧠 🦠 An artificial neural network and API to detect Windows malware, based on Ergo and LIEF.

oneAPI Math Kernel Library (oneMKL) Interfaces

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

A collection of code examples as well as presentations for training purposes

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

kmeans using PyTorch

Python package for signal processing, with emphasis on iterative methods

GPGPU microprocessor architecture

Modern WebGL state wrapper for PEX: allocate GPU resources (textures, buffers), setup state pipelines and passes, and combine them into commands.

Small pathtracing library with GPU and CPU backends

Convolutional (Patch) Networks for Semantic Segmentation

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

The Higher-Order Intermediate Representation

Play with fluids in your browser (works even on mobile)

🔊 Audio and fastai v2

Kaggle Data Science Bowl 2018

Numeric Erlang - vector and matrix operations with CUDA. Heavily inspired by Pteracuda - https://github.com/kevsmith/pteracuda

Deep learning for recommender systems

Deep Learning library using GPU(CUDA/cuBLAS)

CLTune: An automatic OpenCL & CUDA kernel tuner

Library for drawing 2D graphics using the Nintendo 3DS's PICA200 GPU

🎨 Automatic Image Colorization using TensorFlow based on Residual Encoder Network

WIP libraries for C++ for OpenCL Kernel Language published in releases of OpenCL-Docs

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

A library for simple shader programming

A tutorial about how to build a TensorRT Engine from a PyTorch Model with the help of ONNX

A community run, 5-day PyTorch Deep Learning Bootcamp

Spectral, quasi-3D Particle-In-Cell code, for CPU and GPU

🚕 A spreadsheet-like data preparation web app that works over Optimus (pandas, dask, cuDF, dask-cuDF and PySpark)

WIP GTK terminal emulator based on Alacritty

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

R interface to fast.ai

waifu2x converter ncnn version, runs fast on intel / amd / nvidia GPU with vulkan

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

Python client for OmniSci GPU-accelerated SQL engine and analytics platform

NeoScrypt OpenCL GPU Miner

A .NET library for hardware-accelerated, high performance, immediate mode rendering via Direct2D.

RIFE, Real-Time Intermediate Flow Estimation for Video Frame Interpolation implemented with ncnn library

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

Add-on package for ONNX format support in Chainer

The Mali GPU library used in Rockchip Platform

STREAM, for lots of devices written in many programming models

Tensors and Dynamic neural networks in Python with strong GPU acceleration

NVIDIA Management Library (NVML) bindings for Go

GPU Texture Baking Tool

World's fastest and most advanced password recovery utility

SpvGenTwo is a SPIR-V building and parsing library written in plain C++17 without any dependencies. No STL or other 3rd-Party library needed.

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Hive OS client for GPU rigs

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support

The dependency-aware, high-performance aardvark rendering engine. This repo is part of aardvark - an open-source platform for visual computing, real-time graphics and visualization.

⚡️ A fast 2kB low-level WebGL API.

Complete source for my experimental voxel engine

Comprehensive, GPU accelerated framework for developing universal virtual quantum processors

No description or website provided.

A front-end to glxinfo, vulkaninfo, clinfo and es2_info - Linux

A GPU accelerated transition library makes use of displacement maps to create distortion effects.