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Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Python dictionaries with advanced dot notation access
Dot access dictionary with dynamic hierarchy creation and ordered iteration
A collection of reference environments for offline reinforcement learning
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Fast and memory-efficient exact attention
Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors
A Python implementation of global optimization with gaussian processes.
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
PyTorch implements a Deep Convolution GAN neural network structure
The fundamental package for scientific computing with Python.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
A bestiary of evolutionary, swarm and other metaphor-based algorithms
A customizable badge displaying your Discord account, a server invite, or a bot account.
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
High-Resolution Image Synthesis with Latent Diffusion Models
Python Sorted Collections Library
A full featured, fast Command Line Argument Parser for Rust
Manipulation and analysis of geometric objects