1105 Open source projects that are alternatives of or similar to Tensorrt Utils

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

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

Automatic Differentiation Library for Computational and Mathematical Engineering

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

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

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

Bayesian multi-object tracking

⚡️ A fast 2kB low-level WebGL API.

Visualize optimization algorithms in MATLAB.

Hive OS client for GPU rigs

Deep learning GUI frame work for enterprise

The Mali GPU library used in Rockchip Platform

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

A Simply Example to show how to use Keras model in multiple processes to do the prediction

Miniboxing is a program transformation that improves the performance of Scala generics when used with primitive types. It can speed up generic collections by factors between 1.5x and 22x, while maintaining bytecode duplication to a minimum. You can easily add miniboxing to your sbt project:

From Vectors to (sub) Pixels, C# 2D Rendering Library

Gather statistics about physical disk access and CPU consumption done by backends.

Quantitative systematic trading strategy development and backtesting in Julia

Keras implementation of Mobile Networks

Collection of computer vision models, ready to be included in a JVM project

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

ConText v4: Neural networks for text categorization

The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

Heavily optimized zlib compression algorithm

Robotics tools in C++11. Implements soft real time arm drivers for Kuka LBR iiwa plus V-REP, ROS, Constrained Optimization based planning, Hand Eye Calibration and Inverse Kinematics integration.

jupyter/ipython experiment containers for GPU and general RAM re-use

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

train resnet on imagenet from scratch with caffe

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

GPU-Motunui is a path tracer that renders Disney Animation's Moana Island scene.

Yet another black-box optimization library for Python

Learning how to use gurobi with python (in chinese)

GPU accelerated cross filtering with cuDF.

An imperative and functional programming language

A JuMP-based Nonlinear Integer Program Solver

Unoffcial NVIDIA CUDA GPU support version of Google Tensorflow for MAC OSX

Optimus is a mathematical programming library for Scala.

Homebrew low level graphics API for Nintendo Switch (Nvidia Tegra X1)

Switch the rootfs to a NVMe SSD on the Jetson Xavier NX and Jetson AGX Xavier

A LibTorch inference implementation of the yolov5

Serverless.js plugin that implements AWS Lambda Layers which reduces drastically lambda size, warm-up and deployment time.

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

TensorFlow implementation of PNASNet-5 on ImageNet

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.

A pytorch implementation of VoVNet

Module for portfolio optimization, prices and options

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

🔍 A helpful checklist/collection of Search Engine Optimization (SEO) tips and techniques.

📚A list of core knowledge that most Android programmers need to know. (continuously updated...)

Unity3D GPU Sculpt & Morph

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

A JuMP-based Global Optimization Solver for Non-convex Programs

Unreachable code path optimization hint for Swift

The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

IQA: Deep Image Structure and Texture Similarity Metric

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)