d9w / deep-learning-introLinks
Introduction to Deep Learning
☆11Updated 4 years ago
Alternatives and similar repositories for deep-learning-intro
Users that are interested in deep-learning-intro are comparing it to the libraries listed below
Sorting:
- ☆25Updated 4 years ago
- ☆18Updated 3 years ago
- Notebook for the Bayesian Optimization (quick) tutorial☆10Updated 4 years ago
- My solutions to CS285 2019 Fall of UC Berkeley☆14Updated 2 years ago
- All the source codes and lectures of reinforcement learning.☆30Updated 4 years ago
- This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.☆81Updated 8 months ago
- Lecture notes, slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization☆124Updated 4 months ago
- LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results☆19Updated 2 years ago
- ☆20Updated last year
- Python bindings to some optimization benchmarks (robotics problems), in order to constrained optimization solvers. Includes also an inter…☆21Updated 2 years ago
- Compiled lecture notes for AA274☆21Updated 6 years ago
- Great resources for learning optimal control☆17Updated 5 years ago
- This is the code-base that I personally use as the starting point for any reinforcement learning codebase with the purpose of fast experi…☆12Updated 2 years ago
- ☆13Updated 2 years ago
- Introduction to Gaussian Processes☆29Updated 6 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated 8 months ago
- This repository provides a brief introduction to PID control by using Python examples in Jupyter notebooks.☆19Updated last year
- A curated list of papers presented in the 📖"Flexible Learning Reading Group" @ TU Berlin. Join us! 🤗☆27Updated 4 years ago
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆36Updated 2 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 3 years ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 5 years ago
- ☆55Updated 2 years ago
- ☆22Updated 5 years ago
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Updated 4 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆52Updated 3 years ago
- Control with Deep Reinforcement Learning☆12Updated last year
- ☆12Updated 2 years ago
- Notes of Reinforcement Learning MOOC by University of Alberta☆17Updated 4 years ago
- Fully differentiable RL environments, written in Ivy.☆65Updated last year
- ☆43Updated 4 years ago