aurimas13/Machine-Learning-Goodness
The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
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The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.
A curated list of all machine learning algorithms and deep learning algorithms grouped by category.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy