AvisekNaug
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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A collection of various deep learning architectures, models, and tips
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Visualizations for machine learning datasets
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
This is my repository for Data Structures using Python
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Methods to get the probability of a changepoint in a time series.
Implementation of Meta-RL A3C algorithm
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
Simple tutorials using Keras Framework
An implementation of a sequence to sequence neural network using an encoder-decoder
Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
Variational Autoencoder for Dimensionality Reduction of Time-Series