348 Open source projects that are alternatives of or similar to Bevel

🔮 Use TensorFlow models in Go to evaluate Images (and more soon!)

A Unified Framework for Random Forest Prediction Error Estimation

This repository helps you understand python from the scratch.

Introducing neural networks to predict stock prices

Shape and dimension inference (Keras-like) for PyTorch layers and neural networks

Multi Model Server is a tool for serving neural net models for inference

Read and write Python objects to S3, caching them on your hard drive to avoid unnecessary IO.

A scalable inference server for models optimized with OpenVINO™

RNN based Time-series Anomaly detector model implemented in Pytorch.

Fast webpages for all browsers.

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

High-efficiency floating-point neural network inference operators for mobile, server, and Web

LightSeq: A High Performance Inference Library for Sequence Processing and Generation

🎨 A complete Pattern Matching library for TypeScript, with smart type inference.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

TensorFlow examples in C, C++, Go and Python without bazel but with cmake and FindTensorFlow.cmake

Serve your Rubix ML models in production with scalable stand-alone model inference servers.

Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL

An ongoing list of pandas quirks

C# implementation of the various algorithms based on Genetic Algorithm, Genetic Programming and Artificial Neural Networks.

Run TensorFlow models in C++ without installation and without Bazel

Deep neural network framework for multi-label text classification

Tool that predicts the outcome of a Dota 2 game using Machine Learning

Curated Tensorflow code resources to help you get started with Deep Learning.

Easy pipelines for pandas DataFrames.

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

Embedded and mobile deep learning research resources

Create HTML profiling reports from pandas DataFrame objects

A light-weight, flexible, and expressive pandas data validation library

List of papers, code and experiments using deep learning for time series forecasting

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

Typing Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.

Runtime type system for IO decoding/encoding

The challenge projects for Inferencing machine learning models on iOS

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

A uniform interface to run deep learning models from multiple frameworks

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

Header-only library for using Keras models in C++.

A REST API for Caffe using Docker and Go

Unsupervised ML algorithm for predictive modeling and time-series analysis

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

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

Train a state-of-the-art yolov3 object detector from scratch!

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

A Pandas Styler class for making beautiful tables

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

FBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果（包含胜和不胜）。机器学习用的是自己建立的“三木板模型”算法，已在国家期刊发表论文并被万方数据库收录，详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人，附件为群讨论截图，并且每天均有部分人根据预测结果参考投注竞彩，参考的人都获得了相应的收益。 现在想通过认识更多的有识之士，一起探索如何将项目做大做强，找到合伙人，实现共赢。希望感兴趣的同仁联系本人，微信号acredjb。公众号AI金胆（或AI-FBP），每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本：（第三轮目前13中12） 8月10日：13让负（正确） 8月11日：27让负（正确） 8月12日：11让负（正确） 8月13日：6胜（不正确） 8月14日：25让负（正确） 8月15日：无预测 8月16日：1胜（正确） 8月17日：6让负（正确） 8月18日：16胜（正确） 8月19日：34让负（正确） ... 1.0版本（第一轮为11中9） 2.0版本（第二轮13中11）.

Jupyter magics and kernels for working with remote Spark clusters

Working with molecular structures in pandas DataFrames

TensorFlow models accelerated with NVIDIA TensorRT

Visualize a pandas dataframe in a few clicks

Interactive reports to analyze machine learning models during validation or production monitoring.

Lua Language Server coded by Lua

Snips NLU rust implementation

AI 尬舞机

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

GPT-2 Telegram Chat bot

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)