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Search results for python gpu acceleration

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68 search results found

Gpytorch ⭐ 3,337

A highly efficient implementation of Gaussian Processes in PyTorch

Blazingsql ⭐ 1,900

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

Directml ⭐ 1,807

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.

Opt_einsum ⭐ 684

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.

GPU-accelerated Deep Learning on Windows 10 native

Generativeaiexamples ⭐ 458

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Visual Pushing Grasping ⭐ 383

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Hypergbm ⭐ 306

A full pipeline AutoML tool for tabular data

Torch Quiver ⭐ 256

PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

Bohrium ⭐ 202

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

Fruit_ninja_ai ⭐ 154

Kafka Ml ⭐ 131

Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow and PyTorch!)

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

TOD: GPU-accelerated Outlier Detection via Tensor Operations

A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

Data Parallel Extension for NumPy

Package xrt (XRayTracer) is a python software library for ray tracing and wave propagation in x-ray regime. It is primarily meant for modeling synchrotron sources, beamlines and beamline elements.

Asm2vec Pytorch ⭐ 62

Unofficial implementation of asm2vec using pytorch ( with GPU acceleration )

Tensordiffeq ⭐ 60

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

Brian2cuda ⭐ 56

A brian2 extension to simulate spiking neural networks on GPUs

Turbozero ⭐ 53

fast + parallel AlphaZero in JAX

Keras Augmentation Layer ⭐ 48

Keras implementation of layer which performs augmentations of images using GPU.

Ssim Pil ⭐ 46

Structural similarity image comparison with compatibility to the python image library PIL.

A Python package for GPU-accelerated estimation of mixed logit models.

GPU/TPU accelerated nonlinear least-squares curve fitting using JAX

Pyanime4k ⭐ 42

An easy way to use anime4k in python

Saccadic Fast Fourier Transform (SFFT) algorithm for Image subtraction in Fourier space

Python package for Geometric / Clifford Algebra with TensorFlow

Taichigame ⭐ 33

GPU Accelerated Motion Engine based on Taichi Lang

Spark Gpu ⭐ 33

GPU Acceleration for Apache Spark

Pytorch Superpixels ⭐ 31

A way to use superpixels at run-time with Pytorch

Tensorexperiments ⭐ 31

Boilerplate for GPU-Accelerated TensorFlow and PyTorch code on M1 Macbook

A cross-platform Pytnon library for fundamental algorithm with GPU-accelerated computing

Vegasflow ⭐ 23

VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms

Surgicalgym ⭐ 22

High-performance GPU-based simulation platform for reinforcement learning with surgical robot learning

Jamais Vu ⭐ 19

Audio Fingerprinting and Recognition in Python using NVidia's CUDA

Tvm Lesson ⭐ 19

动手学习TVM核心原理教程

Paintingbynumbersify ⭐ 19

Python code for converting any image to a Painting By Numbers version of itself. Now supports GPU acceleration as well.

Lstm_fault_detection ⭐ 18

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Genie Parser ⭐ 17

Neural Network Semantic Parser for Almond

Pytorch Gpu Data Science Project ⭐ 17

Template repository for a Python 3-based (data) science project with GPU acceleration using the PyTorch ecosystem.

Permgwas ⭐ 17

Efficient Permutation-based GWAS for Normal and Skewed Phenotypic Distributions

Ml_notebooks ⭐ 17

Collection of machine learning related notebooks to share.

Apriori And Eclat Frequent Itemset Mining ⭐ 16

Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.

Hessquik ⭐ 15

Computing gradients and Hessians of feed-forward networks with GPU acceleration

Automating Monte Carlo simulation on hardware accelerators.

Speech Command Recognition ⭐ 13

Classify input audio segment into categories for keyword spotting with MatchboxNet with training, exporting onnx model, accelerating inference via TensorRT

Convolution Neural Network By Pycuda ⭐ 12

pyCUDA implementation of forward propagation for Convolutional Neural Networks

End-to-end AO simulation tool using GPU acceleration

Swarm Trajectories ⭐ 11

Source code for the paper "Fast generation of collision-free trajectories for robot swarms using GPU acceleration"

Tensorflow Gpu Data Science Project ⭐ 10

Template repository for a Python 3-based (data) science project with GPU acceleration using the TensorFlow ecosystem.

U Net Reduced With Tf Keras ⭐ 10

Complete U-net Implementation with keras

Pydarknet ⭐ 9

modification of pydarknet to support getting logits out of yolo darknet

Pytorch Rnn Tutorial ⭐ 9

PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting

Torch Staintools ⭐ 9

Pytorch-adaptation of GPU-accelerated StainTool's stain normalization algorithms

Quantorch ⭐ 8

Heuristic PyTorch-based High-Performance Python Library for Quantitative Finance

Intent_and_slot_classification ⭐ 8

One of the main NLU tasks is to understand the intents (sequence classification) and slots (entities within the sequence). This repo help classify both together using Joint Model (multitask model). BERT_SMALL is used which can be changed to any other BERT variant.

Nvidia Rapids Data Science Project ⭐ 8

Template repository for a Python 3-based (data) science project with GPU acceleration using NVIDIA RAPIDS libraries.

Torchsift ⭐ 8

A PyTorch implementation of brute-force descriptor matcher and keypoint RANSAC, both support GPU and batch computation.

Find gravitational wave signals from binary black hole collisions.

Gpu Docker Deployment Text Summarization ⭐ 7

Text Summarization using Transformer on GPU Docker Deployment

Elmo Kmeans ⭐ 6

GPU-accelerated Topic Analysis pipeline

Filmcompress ⭐ 6

Bulk recodes videos to HEVC with optional GPU acceleration

Neural Reinforcement Learning Library

Python Gpu Data Science Project ⭐ 5

Template repository for a Python 3-based (data) science project with GPU acceleration

Kullback Liebler ⭐ 5

Kullback-Liebler divergence in Futhark

Analyzing Complex Networks with Python

Gpu_programming_beginner ⭐ 5

Fundamentals of heterogeneous parallel programming with CUDA C/C++ at the beginner level.

Gpu Python3 Kernel ⭐ 5

Python 3 kernel with GPU acceleration in NVIDIA Optimus setups

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