🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Tutorials for creating and using ONNX models
Project containig related material for my TensorFlow articles
This repository contains the source code for the paper First Order Motion Model for Image Animation
AI education materials for Chinese students, teachers and IT professionals.
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.
YOLOv3 in PyTorch > ONNX > CoreML > iOS
A site that displays up to date COVID-19 stats, powered by fastpages.
A collection of work related to COVID-19
Book about interpretable machine learning
A course in reinforcement learning in the wild
fast.ai early development experiments
:mag: Transformers at scale for question answering & search
Probabilistic reasoning and statistical analysis in TensorFlow
Notebooks for learning deep learning
Repository to store sample python programs for python learning
Repo for the Deep Learning Nanodegree Foundations program.
Tutorials and programming exercises for learning Q# and quantum computing
Automatic extraction of relevant features from time series:
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Swift for TensorFlow
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
Create HTML profiling reports from pandas DataFrame objects
📘Contains a series of hands-on notebooks for learning the fundamentals of NLP
Code for Stanford CS224u
Course Files for Complete Python 3 Bootcamp Course on Udemy
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
The 3rd edition of course.fast.ai
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
DeepRacer workshop content
Financial data reader
Companion webpage to the book "Mathematics For Machine Learning"
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Mish: A Self Regularized Non-Monotonic Neural Activation Function
Repository for benchmarking graph neural networks
comparing stand up comedians using natural language processing
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Image restoration with neural networks but without learning.
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Machine Learning in Asset Management (by @firmai)
Project for Digital Image Processing
Fast and Easy Infinite Neural Networks in Python
🙄 difficult algorithm, simple code.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
DL course co-developed by YSDA, HSE and Skoltech