inessus / CMU_11785_Deep_Learning_CodeLinks
โ20Updated 7 years ago
Alternatives and similar repositories for CMU_11785_Deep_Learning_Code
Users that are interested in CMU_11785_Deep_Learning_Code are comparing it to the libraries listed below
Sorting:
- ๐ Stanford CS 228 - Probabilistic Graphical Modelsโ122Updated 6 years ago
- Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learningโ57Updated 7 years ago
- A guide to improve your research proposals.โ202Updated 5 years ago
- ๐น๏ธ CS234: Reinforcement Learning, Winter 2019 | YouTube videos ๐โ310Updated 2 years ago
- Solutions to CS224n: Natural Language Processing with Deep Learning assignments.โ70Updated last year
- 36-705 Intermediate Statistics, Fall 2017 - CMU Statisticsโ42Updated 7 years ago
- ๐ฅ Stanford CS221: Artificial Intelligence: Principles and Techniquesโ83Updated 6 years ago
- ๐ฎ Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos ๐โ155Updated 6 years ago
- Assignments for CS294-112 Fall2018 in Pytorchโ63Updated 7 years ago
- Resources, papers, tutorialsโ126Updated 5 years ago
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Universโฆโ35Updated 8 years ago
- ๐ฒ Stanford CS234 : Reinforcement Learningโ26Updated 6 years ago
- Notes on Deep Learning textbook by Ian Goodfellow, Yoshua Bengio and Aaron Courvilleโ63Updated 7 years ago
- Starter code for Stanford CS224n default final project on SQuAD 2.0โ33Updated 4 years ago
- My approach to CS224w [AT] Stanford 2019 : )โ122Updated 4 years ago
- Repository for ML in Practice Course at CMU (10-718)โ69Updated last week
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learningโ180Updated 4 years ago
- โ Stanford CS230 : Deep Learningโ16Updated 6 years ago
- ๐ฒ Stanford CS 228 - Probabilistic Graphical Modelsโ148Updated last year
- Complete solutions for Stanford CS224n, winter, 2019โ548Updated 5 years ago
- โ183Updated 3 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fraโฆโ143Updated 3 years ago
- My solutions to CS285 2019 Fall of UC Berkeleyโ14Updated 3 years ago
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learningโ93Updated 6 years ago
- Material for my course: Optimization in Machine Learningโ32Updated 4 years ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networksโ86Updated 3 years ago
- My solutions to the projects (and mini-projects) of the Deep Reinforcement Learning Nanodegree by Udacityโ63Updated 2 years ago
- A compilation of research advice.โ219Updated 4 years ago
- My Solution to the Programming Assignments for Practical Reinforcement Learning from Courseraโ67Updated 5 years ago
- Course webpage for PGM, Spring 2019.โ76Updated 4 years ago