767 Open source projects that are alternatives of or similar to Serving

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!

Revisiting Rainbow

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

Tools and libraries for using Tensorflow (and Tensorflow Serving) in go

A Simple and easy to use way to Visualise Embeddings!

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

No description or website provided.

Appearance-and-Relation Networks

📎 Summaries of papers on deep learning

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Package for automatic beat-mixing of music files in Python 🐻🎚

Sparse and structured neural attention mechanisms

⏰ AI conference deadline countdowns

Efficient ML Filter Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2, and Real-CUGAN)

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）

Binary and Categorical Focal loss implementation in Keras.

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

Understanding emotions from audio files using neural networks and multiple datasets.

Code for reproducing Manifold Mixup results (ICML 2019)

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

Asynchronous Distributed Hyperparameter Optimization.

Public code developed during my MSc study at University of Bologna

Distributed Keras Engine, Make Keras faster with only one line of code.

AI 尬舞机

Spark ML Lib serving library

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Hierarchical Object Detection with Deep Reinforcement Learning

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

코드를 간결하게 정리하고 한글주석을 추가한 Char-RNN

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Kaggle solutions

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

Compute Library for Deep Neural Networks (clDNN)

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

Archived - not answering issues

Recurrent Geometric Networks for end-to-end differentiable learning of protein structure

Batch normalization fusion for PyTorch

Allows you to use OpenAI Codex to fix errors in the command line.

Deep Learning with TensorFlow by Packt

Neural Network TensorFlow C API

Serve your fastText models for text classification and word vectors

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

Python PMML scoring library

Racing game AI

Action recognition using soft attention based deep recurrent neural networks

HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs

No description or website provided.

OpenAI's Gym written in pure Rust for blazingly fast performance

[Machine Learning Engineer Basic Guide] 부스트캠프 AI Tech - Product Serving 자료