sangwoomo / ml-resourcesLinks
Personal and biased selection of ML resources
☆151Updated 5 years ago
Alternatives and similar repositories for ml-resources
Users that are interested in ml-resources are comparing it to the libraries listed below
Sorting:
- videos, slides, and others from NIPS 2017☆180Updated 7 years ago
- Some example scripts on pytorch☆197Updated 4 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆107Updated last year
- Collection of probabilistic models and inference algorithms☆240Updated 5 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆549Updated 2 years ago
- Material for the Montréal Deep Learning Summer School 2017☆77Updated 8 years ago
- My personal toolkit for PyTorch development.☆129Updated 8 years ago
- Awesome PyTorch☆282Updated last year
- Pytorch exercises☆98Updated 8 years ago
- A curated list of resources dedicated to bayesian deep learning☆417Updated 8 years ago
- ☆97Updated 6 years ago
- Cleaned original source code from my NIPS publication☆158Updated 8 years ago
- Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.☆109Updated 6 years ago
- I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my not…☆285Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- Collaborative lecture notes for Spring '19 NYU DL class☆118Updated 5 years ago
- ☆319Updated 8 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆278Updated 6 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆68Updated 6 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆244Updated 7 years ago
- a collection of my notes on deep learning☆123Updated 8 years ago
- Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)☆61Updated 8 years ago
- Benchmark and build RL architectures that can do multitask and transfer learning.☆144Updated 3 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- ☆79Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- I collected some papers about interpretable CNN and reorganized them here.☆132Updated 7 years ago
- ☆31Updated 7 years ago
- Proceedings of ICML 2018☆39Updated 3 months ago