Alternatives and similar repositories for ML-AI-Algorithms-from-scratch

Users that are interested in ML-AI-Algorithms-from-scratch are comparing it to the libraries listed below

• Mattral / mattral
  my profile readme
  ☆14Updated this week
• eunae-park / EdgeComputing_DataAggregator
  ☆17Updated last year
• Mattral / computer-vision-playbook
  Best Practices for Computer Vision
  ☆46Updated last week
• benbotto / bsy-dqn-atari
  A DQN implementation using Keras and Tensorflow
  ☆12Updated 7 years ago
• ambirpatel / Object-Localization-using-Deep-Reinforcement-Learning
  We have trained an intelligent agent that draws bounding boxes around an object in the image. This implementation combines CNN, DQN, and …
  ☆10Updated 3 months ago
• Meredevs / DQN_Pong
  My implementation of a deep q learning network learning to play pong.
  ☆10Updated 5 years ago
• tmatha / lstm
  Training an LSTM network on the Penn Tree Bank (PTB) dataset
  ☆11Updated 7 years ago
• ajayn1997 / Neural-Architecture-Search-using-Reinforcement-Learning
  An implementation of neural architecture search using the REINFORCE algorithm. we use a re-current network to generate the model descript…
  ☆11Updated 5 years ago
• JapiKredi / awesome-llms
  🤓 A collection of AWESOME structured summaries of Large Language Models (LLMs)
  ☆11Updated 2 years ago
• cfoh / snake-game
  Playing snake game using machine learning (Q-Learning, DQN, SARSA)
  ☆15Updated last year
• amirhossein-hkh / pong-dqn
  RL Agent for Atari Game Pong
  ☆12Updated 6 years ago
• voaneves / snake-on-pygame
  Snake game implemented in Pygame that can be controlled by human input and AI agents (DQN). Who's best?
  ☆11Updated 2 years ago
• gkhayes / maze_reinforcement_learning
  Code for solving a basic maze reinforcement learning problem using Q-learning
  ☆14Updated 5 years ago
• ShrishtiHore / Conversational_Chatbot_using_LSTM
  This project is to create conversational chatbot using Sequence to sequence LSTM models. Sequence to sequence learning is about training …
  ☆37Updated 5 years ago
• init-22 / CartPole-v0-using-Q-learning-SARSA-and-DNN
  Solution to Cartpole balancing problem with the help of reinforcement learning and Deep Neural Networks.
  ☆11Updated 2 years ago
• arthurdjn / snake-reinforcement-learning
  Genetic Algorithm and Neural Network for the snake game.
  ☆23Updated 4 years ago
• tensorops / TransformerX
  Flexible Python library providing building blocks (layers) for reproducible Transformers research (Tensorflow ✅, Pytorch 🔜, and Jax 🔜)
  ☆53Updated 2 years ago
• mingen-pan / Reinforcement-Learning-Q-learning-8puzzle-Pytorch
  This is a project using neural-network reinforcement learning to solve the 8 puzzle problem (or even N puzzle)
  ☆11Updated 7 years ago
• johnnycode8 / dqn_pytorch
  Tutorial series on how to implement DQN with PyTorch from scratch.
  ☆52Updated 10 months ago
• RyanHaoranLi / CAR-DQN
  [ICML 2024 Oral] Consistent Adversarial Robust Deep Q Networks (CAR-DQN)
  ☆15Updated 11 months ago
• xycoord / deep-rl-course
  This course aims to teach from the basics of RL to advanced algorithms such as PPO.
  ☆32Updated last week
• chirag-singhal / Double-DQN
  Deep Reinforcement Learning with Double Q-learning
  ☆14Updated 5 years ago
• mmuppidi / DQN-Atari-Pong
  This project explores a deep reinforcement learning technique to train an agent to play atari pong game from OpenAI Gym. OpenAI Gym is a …
  ☆13Updated 7 years ago
• ykteh93 / Deep_Reinforcement_Learning-Atari
  Deep Q-Network (DQN) to play classic Atari Games
  ☆11Updated 8 years ago
• angry-kratos / Simple_Llama3_from_scratch
  ☆30Updated last year
• kyegomez / VisionLLaMA
  Implementation of VisionLLaMA from the paper: "VisionLLaMA: A Unified LLaMA Interface for Vision Tasks" in PyTorch and Zeta
  ☆16Updated last year
• adithya-s-k / Indic-llm
  A open-source framework designed to adapt pre-trained Language Models (LLMs), such as Llama, Mistral, and Mixtral, to a wide array of dom…
  ☆23Updated last year
• johnHostetter / AAMAS-2023-FCQL
  A systematic design process for a self-organizing neuro-fuzzy Q-network for model-free and offline reinforcement learning.
  ☆11Updated 2 years ago
• AlessandroSaviolo / CNN-from-Scratch
  Convolutional Neural Network implemented from Scratch for MNIST and CIFAR-10 datasets.
  ☆66Updated 3 years ago
• dsgiitr / rl_2048
  Implementation of Deep Q-network to play the game 2048 using Keras.
  ☆13Updated 4 years ago