Pinned Repositories
ACC
Source code for Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
Adv360-Pro-ZMK
Production repository for the all-new Advantage360 Professional using ZMK engine
Aggressive-Q-Learning-with-Ensembles
AQE
AI
Learn AI
awesome-compilers-old
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Bayesian-Statistics
Bayesian Statistics
brain_agent
Brain Agent for Large-Scale and Multi-Task Agent Learning
foundations_for_deep_learning
Building a scalable foundation for deep learning
Machile-Learning-My-Code
AdityaGudimella's Repositories
AdityaGudimella/Bayesian-Statistics
Bayesian Statistics
AdityaGudimella/foundations_for_deep_learning
Building a scalable foundation for deep learning
AdityaGudimella/Machile-Learning-My-Code
AdityaGudimella/ACC
Source code for Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
AdityaGudimella/Aggressive-Q-Learning-with-Ensembles
AQE
AdityaGudimella/AI
Learn AI
AdityaGudimella/awesome-compilers-old
AdityaGudimella/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
AdityaGudimella/d3-tip
d3 tooltips
AdityaGudimella/DeepRL_PyTorch
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
AdityaGudimella/ED2
Continuous Control With Ensemble DeepDeterministic Policy Gradients
AdityaGudimella/exorl
ExORL: Exploratory Data for Offline Reinforcement Learning
AdityaGudimella/iv_rl
IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
AdityaGudimella/jupyterm
A toy implementation of the Jupyter client in Rust.
AdityaGudimella/learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
AdityaGudimella/numbasub
Shim module to easily make numba an optional dependency
AdityaGudimella/proj58
AdityaGudimella/python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
AdityaGudimella/python-mode
Vim python-mode. PyLint, Rope, Pydoc, breakpoints from box.
AdityaGudimella/python_practice
Practice questions for python beginners
AdityaGudimella/rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
AdityaGudimella/ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
AdityaGudimella/realant-rl
Reinforcement learning with RealAnt: an open-source low-cost quadruped
AdityaGudimella/rl_algorithms
Structural implementation of RL key algorithms
AdityaGudimella/tensorflow
Computation using data flow graphs for scalable machine learning
AdityaGudimella/tianshou
An elegant PyTorch deep reinforcement learning library.
AdityaGudimella/tsalib
Tensor Shape (Annotation) Library (numpy, tensorflow, pytorch, ...)
AdityaGudimella/TypeFunc
Resources for type theory, functional programming, etc.
AdityaGudimella/Unconstrained-Monotonic-Deep-Q-Network-algorithm
Official implementation of the UMDQN algorithm presented in the scientific research paper entitled "Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks".
AdityaGudimella/Vertex-Cover
A bunch of algorithms to solve the Minimum Unweighted Vertex Cover problem