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OptiScaler bridges upscaling/frame gen across GPUs. Supports DLSS2+/XeSS/FSR2+ inputs, replaces native upscalers, enables FSR3 FG on non-FG titles. Supports Nukem mod for DLSSG-to-FSR3 FG.
Deep Reinforcement Learning: Zero to Hero!
Tensors and Dynamic neural networks in Python with strong GPU acceleration
8000 The Core Reinforcement Learning library is intended to enable scalable deep reinforcement learning experimentation in a manner extensible to new simulations and new ways for the learning agents to …
Thousands of code solutions with clear explanation @ onelinerhub.com
FinRL®: Financial Reinforcement Learning. 🔥
Free copy of The Cyber Plumber's Handbook - The definitive guide to Secure Shell (SSH) tunneling, port redirection, and bending traffic like a boss.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
List of awesome resources for machine learning-based algorithmic trading
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Library for controlling and capturing images from video games
The fastai book, published as Jupyter Notebooks
Computer Vision Basics in Microsoft Excel (using just formulas)
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Companion webpage to the book "Mathematics For Machine Learning"
Reformer, the efficient Transformer, in Pytorch
[ACL 2019]: Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling
A media server configuration to run Plex, Sonarr, Radarr and Transmission in Docker
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Dozens of free and open source demos for the Godot game engine, version 3. Head to the link below for newer demos for Godot 4+
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
The repo contains all the materials related to Question Answering.
This is the code for the paper 'Quaternion Recurrent Neural Networks'.
This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch