google-research / google-research
Google Research
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Google Research
This repository contains implementations and illustrative code to accompany DeepMind publications
Course Files for Complete Python 3 Bootcamp Course on Udemy
Convert TensorFlow models to ONNX
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Practice your pandas skills!
Data augmentation for NLP
TensorFlow documentation
Data and code behind the articles and graphics at FiveThirtyEight
An open-source, low-code machine learning library in Python
Apps hosted in the Dash Gallery
NeMo: a toolkit for conversational AI
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
My blogs and code for machine learning. http://cnblogs.com/pinard
Deep Learning Specialization by Andrew Ng on Coursera.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Cloud-native SIEM for intelligent security analytics for your entire enterprise.
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
En formato estándar
COCO API - Dataset @ http://cocodataset.org/
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch
Submit 4 pull requests to earn swags (Tshirts + badges)