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 library for Rust
A Framework for Encrypted Machine Learning in TensorFlow
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.
Evolutionary Algorithm using Python, 莫烦Python 中文AI教学
Một cuốn sách tập trung vào hướng dẫn cách cấu trúc các dự án Học Máy và phân tích cách làm cho các thuật toán Học Máy hoạt động.
AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which...
A system to flag anomalous source code expressions by learning typical expressions from training data
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js
NFStream: a Flexible Network Data Analysis Framework.
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
TensorFlow plugin for the Unreal Engine.
pyclustering is a Python, C++ data mining library.
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Multilingual word vectors in 78 languages
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器...
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word...
Composable GAN framework with api and user interface
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
moDel Agnostic Language for Exploration and eXplanation
TensorFlow 最佳学习资源大全(含课程、书籍、博客、公开课等内容)
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
A Data Engineering & Machine Learning Knowledge Hub
Terminal dashboard for trading Bitcoin, predicting price movements, and losing all your money
PySpark + Scikit-learn = Sparkit-learn
gradslam is an open source differentiable dense SLAM library for PyTorch
The Hacker's Machine Learning Engine
A List of Data Science/Machine Learning Resources (Mostly Free)
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
Change Python code while it's running without losing state
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
A lightweight header-only library for using Keras (TensorFlow) models in C++.
Samples and Tools for Windows ML.
A Graph Neural Network Library in Jax
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
Finding the genre of a song with Deep Learning
GraphVite: A General and High-performance Graph Embedding System
Deep Learning Interview 深度学习面试题目汇总
A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.
Large datasets for conversational AI
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
ChainerRL is a deep reinforcement learning library built on top of Chainer.
TensorFlow 101: Introduction to Deep Learning