6492 Open source projects that are alternatives of or similar to Trtorch

A community run, 5-day PyTorch Deep Learning Bootcamp

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

Application of machine learning to the Coinbase (GDAX) orderbook

The C++ Standard Library for your entire system.

Achieve peak performance on x86 CPUs and NVIDIA GPUs

Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings

Experiments with CUDA and Rust

Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

Docker scripts for building ONNX Runtime with TensorRT and OpenVINO in manylinux environment

Image-processing software for cryo-electron microscopy

JetScan : GPU accelerated portable RGB-D reconstruction system

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

Data visualisation in Python based on OptiX 7.2 ray tracing framework.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

🐜 A CUDA based miner for Monero

OpenCL integration for Python, plus shiny features

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

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

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

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

SDK for GPU accelerated genome assembly and analysis

Lane detection for the Nvidia Jetson TX2 using OpenCV4Tegra

Modified nVidia .inf files to run drivers on all video cards, research & telemetry free drivers

A fast Clojure Tensor & Deep Learning library

gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)

The C++ parallel algorithms library.

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

cuML - RAPIDS Machine Learning Library

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

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

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

An on-premises, bare-metal solution for deploying GPU-powered applications in containers

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

💰 USB flash drive ISO image for Ethereum, Zcash and Monero mining with NVIDIA graphics cards and Ubuntu GNU/Linux (headless)

Cooperative primitives for CUDA C++.

A real time optical flow algorithm implemented on GPU

OptiX Path Tracer

ILGPU JIT Compiler for high-performance .Net GPU programs

☁️ Volumetric path tracer using cuda

GitHub Action to install CUDA

Thin C++-flavored wrappers for the CUDA Runtime API

All-in-one AI container for rapid prototyping

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

Some work of Andrew Ng's course on Coursera

ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

数据科学的笔记以及资料搜集

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

Monero (XMR) NVIDIA miner

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data

Training Very Deep Neural Networks Without Skip-Connections

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.