789 Open source projects that are alternatives of or similar to Kotlindl

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

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

GPU Javascript Library for Machine Learning

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

List of Deep Learning Cloud Providers

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

ArrayFire: a general purpose GPU library.

NVIDIA GPUs htop like monitoring tool

iOS 弹幕库 OCBarrage, 同时渲染5000条弹幕也不卡, 轻量, 可拓展, 高度自定义动画, 超高性能, 简单易上手; A barrage render-engine with high performance for iOS. At the same time, rendering 5000 barrages is also very smooth, lightweight, scalable, highly custom animation, ultra high performance, simple and easy to use!

phi: gpu accelerated code-editor; definitely not to be confused phonetically with vi.

MBPMid2010_GPUFix is an utility program that allows to fix MacBook Pro (15-inch, Mid 2010) intermittent black screen or loss of video. The algorithm is based on a solution provided by user fabioroberto on MacRumors forums.

YOLO for object detection tasks

Simple PyTorch Tutorials Zero to ALL!

An open-source, low-code machine learning library in Python

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

Action recognition using soft attention based deep recurrent neural networks

The RWTH extensible training framework for universal recurrent neural networks

A simple realtime graphics playground for experimentations.

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration

A fast Clojure Tensor & Deep Learning library

A collection of some datasets for segmentation / saliency detection. Welcome to PR...😄

Holistically-Nested Edge Detection

A curated list of awesome Distributed Deep Learning resources.

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

How to: Run Rust code on your NVIDIA GPU

OCaml bindings for PyTorch

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Grokking Deep Reinforcement Learning

No dependency caffe replacement

Deep Learning Projects that Build Themselves

High-performance Bayesian Data Analysis on the GPU in Clojure

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

基于BERT的中文命名实体识别

DilatedNet in Keras for image segmentation

Android GPU Inspector

Debugging, monitoring and visualization for Python Machine Learning and Data Science

语音识别理论，论文和PPT

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

Fast and flexible AutoML with learning guarantees.

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

Language and compiler for the Raspberry Pi GPU

Implementation of cs229(Machine Learning taught by Andrew Ng) in python.

The C++ parallel algorithms library.

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

Through this configuration, no per voxel data is transferred between the GPU and the CPU at runtime.

A PyTorch implementation of center loss on MNIST

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

Ngx - Neural network based visual generator and mixer

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Next-generation HTML renderer for apps and games

This is a list of useful libraries and resources for CUDA development.

This is a repository for an object detection inference API using the Tensorflow framework.

A Scala wrapper for Deeplearning4j, inspired by Keras. Scala + DL + Spark + GPUs

A collection of GICP-based fast point cloud registration algorithms

To know stats by heart

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.

GPGPU Javascript library 🐸