Pinned Repositories
Deepnash-pytorch
Experimentation_ml
Toolkits
Lion-optimizer-pytorch
Lion optimizer pytorch
Muzero
Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.
Muzero-unplugged
Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
PhySO
Physical Symbolic Optimization
Simple_machine_learning_for_Topological_forecast_on_crypto_assets
Finding clusters of invariant structure using k-means algorithm and generate forecast with the next structure having the highest probability of occurrence. (without hyperparameter tuning, model analysis or cloud pipeline)
Stochastic-muzero
Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
Stochastic-time-series-forecast-simulator
Simulation for deep reinforcement learning on stochastic time series
TinyRL
Minimalist RL implementation on Tinygrad
DHDev0's Repositories
DHDev0/Stochastic-muzero
Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
DHDev0/Muzero-unplugged
Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
DHDev0/Muzero
Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.
DHDev0/Stochastic-time-series-forecast-simulator
Simulation for deep reinforcement learning on stochastic time series
DHDev0/Deepnash-pytorch
DHDev0/TinyRL
Minimalist RL implementation on Tinygrad
DHDev0/Simple_machine_learning_for_Topological_forecast_on_crypto_assets
Finding clusters of invariant structure using k-means algorithm and generate forecast with the next structure having the highest probability of occurrence. (without hyperparameter tuning, model analysis or cloud pipeline)
DHDev0/Experimentation_ml
Toolkits
DHDev0/Lion-optimizer-pytorch
Lion optimizer pytorch
DHDev0/PhySO
Physical Symbolic Optimization
DHDev0/Pytorch_GPU_k-means_clustering
A pytorch implementation of k-means_clustering
DHDev0/Stacking-and-unstacking-categorical-variable
Stacking and unstacking categorical variable with python
DHDev0/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️