bumic / summariesLinks
Repo for machine learning research paper summaries
☆10Updated 7 years ago
Alternatives and similar repositories for summaries
Users that are interested in summaries are comparing it to the libraries listed below
Sorting:
- This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube☆91Updated 7 years ago
- AI-ON Consciousness Prior☆97Updated 7 years ago
- Twitterbot that uses machine learning to curate interesting arXiv papers☆43Updated 7 years ago
- A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…☆32Updated 6 years ago
- Models built with TensorFlow☆26Updated 6 years ago
- This was my private research codebase during grad school. After graduation I made it all public☆125Updated 6 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆10Updated 7 years ago
- Tensorflow implementation of Graph Convolutional Network☆77Updated 5 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Synthetic book pages created with a PGGAN☆73Updated 7 years ago
- Personal summaries of deep learning and AI papers☆31Updated 4 years ago
- The versatility of Python enlightened by Torch to seize Deep Learning☆129Updated 8 years ago
- Tensorflow example of a conv GAN on MNIST.☆98Updated 7 years ago
- Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley☆42Updated 8 years ago
- Deep Learning DTU summer school 2015☆23Updated 9 years ago
- Arxiv's ML papers network graph and browser☆80Updated 6 years ago
- Sample code for generative recurrent autoencoders.☆26Updated 9 years ago
- Code for "Spinning Up a Pong AI With Deep RL" on FloydHub.☆55Updated 6 years ago
- my solutions for oxford's "deep nlp 2017" practical assignments☆65Updated 8 years ago
- A curated list of resources dedicated to bridge between Cognitive Science and Deep Learning☆81Updated 8 years ago
- A collection of notebooks aiding the understanding of machine-learning papers.☆10Updated 4 years ago
- Implementation of various Reinforcement Learning Algorithms☆27Updated 7 years ago
- Code needed to reproduce "Modeling documents with Generative Adversarial Networks"☆37Updated 8 years ago
- Generative Adversarial Networks in Keras☆46Updated 4 years ago
- Matplotlib examples to present results.☆70Updated 7 years ago
- NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science☆132Updated 6 years ago
- Scrapes the abstracts to NIPS 2017 papers.☆40Updated 8 years ago
- Reinforcement learning course at Data Science Retreat☆42Updated 6 years ago
- ipython-notebooks on popular algorithms meant to be used at technical sessions for IITB students☆28Updated 8 years ago
- Generative Latent Attentive Sampler☆26Updated 8 years ago