Stars
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Long list of geospatial tools and resources
A game theoretic approach to explain the output of any machine learning model.
A natural language modeling framework based on PyTorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A library for transfer learning by reusing parts of TensorFlow models.
Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding a…
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
References on Optimal Control, Reinforcement Learning and Motion Planning
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
All Algorithms implemented in Python
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to an…
A POSIX-compliant AWK interpreter written in Go, with CSV support
This repository contains information about Cloud GPU offerings for Machine Learning practitioners.
A fast, efficient universal vector embedding utility package.
PyTorch deep learning projects made easy.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Machine Learning Toolkit for Kubernetes
Open source platform for the machine learning lifecycle