Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
A toolkit for developing and comparing reinforcement learning algorithms.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Open standard for machine learning interoperability
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
The interactive graphing library for Python ✨
Code samples for my book "Neural Networks and Deep Learning"
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
A little word cloud generator in Python
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
code for Data Science From Scratch book
Speech recognition module for Python, supporting several engines and APIs, online and offline.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
A faster pytorch implementation of faster r-cnn
Distributed Asynchronous Hyperparameter Optimization in Python
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
Keras code and weights files for popular deep learning models.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility