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Intel
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📚 Freely available programming books
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
MicroK8s is a small, fast, single-package Kubernetes for datacenters and the edge.
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform
A collection of research papers on decision, classification and regression trees with implementations.
A toolkit for reproducible reinforcement learning research.
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
BAyesian Model-Building Interface (Bambi) in Python.
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Implementations of selected inverse reinforcement learning algorithms.
Sample code and configuration files from the Designing Distributed Systems book.
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are…
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Tensorflow implementations of Text Classification Models.
Generate realizations of stochastic processes in python.
Python implementation of the conformal prediction framework.
multi-agent deep reinforcement learning for networked system control.
pymc-learn: Practical probabilistic machine learning in Python
Bayesian Additive Regression Trees For Python
Scripts and a Docker container to maintain your own OpenStreetMap planet, terrain tiles, & Valhalla Tilepacks
Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
Classical RecSys algorithms implemented by using TensorFlow Estimators
Software Development Kit (SDK) for the Geti™ platform for Computer Vision AI model training.



