machine-learning
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.
Repositories (1414)
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word...
moDel Agnostic Language for Exploration and eXplanation
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
TensorFlow 最佳学习资源大全（含课程、书籍、博客、公开课等内容）
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
A List of Data Science/Machine Learning Resources (Mostly Free)
Change Python code while it's running without losing state
The Hacker's Machine Learning Engine
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
A lightweight header-only library for using Keras (TensorFlow) models in C++.
A Graph Neural Network Library in Jax
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
Samples and Tools for Windows ML.
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
Large datasets for conversational AI
A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
ChainerRL is a deep reinforcement learning library built on top of Chainer.
TensorFlow 101: Introduction to Deep Learning
A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
Machine learning algorithms implemented by pure numpy
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
High performance, cross platform ionic app for Home/Commerical Security Surveillance using ZoneMinder
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applicati...
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.
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine...
:memo: This repository recorded my NLP journey.
A Python tool that automatically cleans data sets and readies them for analysis.
MapReduce, Spark, Java, and Scala for Data Algorithms Book
(Deprecated) Scikit-learn integration package for Apache Spark
curated collection of papers for the nlp practitioner 📖👩🔬
Curated List: Practical Natural Language Processing done in Ruby
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-v...
Essential Guide to keep up with AI/ML/DL/CV
Repository for few-shot learning machine learning projects
Python Library for Model Interpretation/Explanations
Machine learning-Stanford University
A log analysis toolkit for automated anomaly detection [ISSRE'16]
Layers Outputs and Gradients in Keras. Made easy.
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
Implementations of CNNs, RNNs, GANs, etc