Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
TensorFlow powered JavaScript library for training and deploying ML models on Node.js.
TensorFlow for Arm
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A PyTorch-based library for semi-supervised learning (NeurIPS'21)
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Generate Diverse Counterfactual Explanations for any machine learning model.
Python audio and music signal processing library
Real-time pix2pix implementation with Unity
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
Attempting to make the Deep Learning Book easier to understand.
Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV
Interpretability Methods for tf.keras models with Tensorflow 2.x
Fast & Simple Resource-Constrained Learning of Deep Network Structure
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
In-App assistant SDK to build a multimodal conversational UX for Apache Cordova applications
[Deprecated] 🇨🇳中国二代身份证光学识别
Cool vision, learning, and graphics papers on Cats!
This guide details a learning path for high school students looking to explore the field of Machine Learning & Artificial Intelligence.
Isn't that what we all want? Our money to go many? Well that's what this framework/strategy hopes to do for you! By giving you & HyperOpt a lot of sig...
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation o...
GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it
This Word Does Not Exist
:fire: NativeScript plugin for Firebase
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
Monthly Series - Machine Learning Top 10 Open Source Projects
Texture synthesis from examples
💥🔥 大数据平台AllData是基于Ambari大数据平台、微服务、机器学习、商城、DevOps、数据采集、数据存储、数据计算、数据开发、数据运营中台打造出Github为数不多...
fastFM: A Library for Factorization Machines
This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoC...
Sparkling Water provides H2O functionality inside Spark cluster
Distributed Computing for AI Made Simple
R interface for Apache Spark
Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trend...
nlp in action
Keyword spotting on Arm Cortex-M Microcontrollers
A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のた...
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
A polyhedral compiler for expressing fast and portable data parallel algorithms
List of all the lessons learned, best practices, and links from my time studying machine learning
A-Paper-A-Week
Genetic neural architecture search with Keras
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
Combines the ease of use of scikit-learn with the power of Theano/Lasagne
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
A uniform interface to run deep learning models from multiple frameworks
TensorFlow API for the Scala Programming Language
Search inside YouTube videos using natural language