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.
Machine learning algorithms implemented by pure numpy
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine...
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applicati...
:memo: This repository recorded my NLP journey.
MapReduce, Spark, Java, and Scala for Data Algorithms Book
A Python tool that automatically cleans data sets and readies them for analysis.
(Deprecated) Scikit-learn integration package for Apache Spark
Curated List: Practical Natural Language Processing done in Ruby
zmNinja is no longer being maintained. Please use zmNinjaNg
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-v...
curated collection of papers for the nlp practitioner 📖👩🔬
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
:helicopter: 保险行业语料库,聊天机器人
Repository for few-shot learning machine learning projects
Essential Guide to keep up with AI/ML/DL/CV
Python Library for Model Interpretation/Explanations
Machine learning-Stanford University
Layers Outputs and Gradients in Keras. Made easy.
A log analysis toolkit for automated anomaly detection [ISSRE'16]
Implementations of CNNs, RNNs, GANs, etc
TensorFlow powered JavaScript library for training and deploying ML models on Node.js.
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
TensorFlow for Arm
Generate Diverse Counterfactual Explanations for any machine learning model.
Python audio and music signal processing library
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
Gesture recognition via CNN. Implemented in Keras + Tensorflow/Theano + OpenCV
Attempting to make the Deep Learning Book easier to understand.
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Real-time pix2pix implementation with Unity
Interpretability Methods for tf.keras models with Tensorflow 2.x
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
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...
[Deprecated] 🇨🇳中国二代身份证光学识别
This Word Does Not Exist
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation o...
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
:fire: NativeScript plugin for Firebase
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...