829 Open source projects that are alternatives of or similar to Keras Multiple Process Prediction

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.

List of Deep Learning Cloud Providers

High-level Deep Learning Framework written in Kotlin and inspired by Keras

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…

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

GPU Javascript Library for Machine Learning

DenseNet3D Model In "LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild", https://arxiv.org/abs/1810.06990

The write-once-run-anywhere GPGPU library for Rust

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

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

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

The code for the MaD TwinNet. Demo page:

An open source framework for seq2seq models in PyTorch.

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

机器学习与深度学习算法示例

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

NVIDIA P106 GPUs

A library for simple shader programming

Semantic Entity Retrieval Toolkit

Reference code for the paper "Learning Multi-Scale Photo Exposure Correction", CVPR 2021.

A community run, 5-day PyTorch Deep Learning Bootcamp

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

Learning human driver models from NGSIM data with imitation learning.

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

R interface to fast.ai

SpecGAN - generate audio with adversarial training

Deep.Net machine learning framework for F#

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

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

Parallax scrolling either by offset or automatically.

kmeans using PyTorch

Deep Learning library using GPU(CUDA/cuBLAS)

Code for the IJCAI 2018 paper "R^3Net: Recurrent Residual Refinement Network for Saliency Detection"

ThunderSVM: A Fast SVM Library on GPUs and CPUs

GPGPU microprocessor architecture

capsule networks that achieves outstanding performance on the German traffic sign dataset

Spectral Normalization for Keras Dense and Convolution Layers

PyTorch tutorials A to Z

Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

3D graphics for iOS using Metal and Swift

Deep Learning on 身份证识别

Gateless Gate Sharp is an user-friendly yet extremely powerful open-source multi-algorithm miner for Windows operating systems.

A comprehensive reference for all topics related to Natural Language Processing

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

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

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.

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

DLFlow is a deep learning framework.

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

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Code for the ECCV 2018 paper "Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection"

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

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

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

NVIDIA Management Library (NVML) bindings for Go

A dockerized version of neural style transfer algorithms

NVidia dynamic fan control for Linux and Windows

GPU Texture Baking Tool