Google Brain AutoML
A site that displays up to date COVID-19 stats, powered by fastpages.
Draft of the fastai book
Covidify - corona virus report and dataset generator for python 📈
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Create delightful python projects using Jupyter Notebooks
YOLOv3 in PyTorch > ONNX > CoreML > iOS
An introduction to Python and programming for wanna-be data scientists
A collection of infrastructure and tools for research in neural network interpretability.
Course materials for Advanced Binary Deobfuscation by NTT Secure Platform Laboratories
Create HTML profiling reports from pandas DataFrame objects
A course in reinforcement learning in the wild
Datasets, Transforms and Models specific to Computer Vision
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
18.06 course at MIT
AI for everyone! :tada: Neural networks, tools and a library we use in Supervisely
Automatic extraction of relevant features from time series:
The 3rd edition of course.fast.ai
Python Helper library for Jupyter Notebooks
Best Practices, code samples, and documentation for Computer Vision.
COCO API - Dataset @ http://cocodataset.org/
A high-level probabilistic programming interface for TensorFlow Probability
Using deep learning to generate novel molecules as candidates for binding with coronavirus protease
The jiant toolkit for general-purpose text understanding models
Swift for TensorFlow
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.
Repositório do Curso Online Python Fundamentos Para Análise de Dados.
A collection of pre-trained, state-of-the-art models in the ONNX format
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Deep Learning Examples
Bonus materials, exercises, and example projects for our Python tutorials
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Learn OpenCV : C++ and Python Examples
《Python Cookbook》 3rd Edition Translation
Practice your pandas skills!
Companion webpage to the book "Mathematics For Machine Learning"
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Google Colaboratory Notebooks and Repositories
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
The "Python Machine Learning (2nd edition)" book code repository and info resource
Image augmentation library in Python for machine learning.
Game Agent Framework. Helping you create AIs / Bots to play any game you own!
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.