titaneric / AutoDiff-from-scratchLinks
Auto Differentiate from scratch based on Autograd
☆10Updated 3 years ago
Alternatives and similar repositories for AutoDiff-from-scratch
Users that are interested in AutoDiff-from-scratch are comparing it to the libraries listed below
Sorting:
- a simple implementation of autograd engine☆24Updated 7 years ago
- ☆53Updated 2 years ago
- Some small scale experiments for my blog posts 📝☆80Updated 3 years ago
- Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space…☆71Updated last year
- Customizable RecSys Simulator for OpenAI Gym☆26Updated 4 years ago
- A reinforcement learning based solver for combinatorial problems☆43Updated 3 years ago
- An AI program that plays Flappy Bird using reinforcement learning.☆44Updated 5 years ago
- This project was moved to: https://github.com/coax-dev/coax☆161Updated 3 years ago
- A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)☆101Updated 6 years ago
- A C++ pytorch implementation of MuZero☆40Updated last year
- Learning some numerical linear algebra.☆72Updated 5 years ago
- A Survey Analyzing Generalization in Deep Reinforcement Learning☆35Updated last year
- This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.☆83Updated last year
- Demo of UCT (MCTS) in Python / Numpy☆88Updated 3 years ago
- Yaae: Yet another autodiff engine (written in Numpy).☆28Updated 2 years ago
- AlphaZero in JAX☆81Updated last year
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 4 years ago
- Reinforcement Learning Assembly☆92Updated 4 years ago
- coding an autograd from scratch☆180Updated 7 years ago
- Reinforcement learning library in JAX.☆100Updated 2 years ago
- Evolving deep neural network agents using Genetic Algorithms☆69Updated 7 years ago
- ⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems☆20Updated 2 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆75Updated 2 years ago
- High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters☆27Updated 4 years ago
- A PyTorch based DeepRL framework to train and study artificial species in bio-inspired environments.☆70Updated 2 years ago
- Understanding RL vision Distill article☆25Updated 2 years ago
- Interaction-side integration library for Reinforcement Learning loops: Predict, Log, [Learn,] Update☆75Updated last year
- An implementation of convolutional networks in NumPy!☆83Updated 4 years ago
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆43Updated 3 years ago
- Implementing the base algorithms of Deep Reinforcement Learning in Python☆21Updated 2 years ago