shagunsodhani / papers-I-read
A-Paper-A-Week
☆942Updated 6 months ago
Alternatives and similar repositories for papers-I-read:
Users that are interested in papers-I-read are comparing it to the libraries listed below
- A collection of video resources for machine learning☆1,536Updated 3 years ago
- Essential Guide to keep up with AI/ML/DL/CV☆1,039Updated 2 years ago
- Various tutorials given for welcoming new students at MILA.☆985Updated 6 years ago
- A curated list of beginner resources in Natural Language Processing☆385Updated 8 years ago
- Collection of papers☆470Updated 2 years ago
- ☆316Updated 7 years ago
- Summaries of papers on deep learning☆570Updated 5 years ago
- A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.☆1,047Updated 6 years ago
- An open source project to document AI progress through data.☆443Updated 4 years ago
- A collaborative list of interactive Machine Learning, Deep Learning and Statistics websites☆434Updated 2 years ago
- Organized & Useful Resources about Deep Learning with TensorFlow☆21Updated 4 years ago
- Introduction to Deep Learning for Natural Language Processing☆605Updated 4 years ago
- Topics Course on Deep Learning UC Berkeley☆1,302Updated 7 years ago
- machine learning/artificial intelligence notes☆321Updated 4 years ago
- Instructions for setting up the software on your deep learning machine☆1,978Updated 6 years ago
- Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc☆510Updated 4 years ago
- articles about research and phd advice☆277Updated 5 years ago
- Random notes on papers, likely a short-term repo.☆671Updated 7 years ago
- Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation☆438Updated 6 years ago
- This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforwa…☆1,386Updated 5 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,923Updated 9 months ago
- Metacademy.org's application code☆692Updated last year
- A living collection of deep learning problems☆1,706Updated 8 months ago
- Implementations of CNNs, RNNs, GANs, etc☆1,053Updated 6 years ago
- Find people you should follow on Twitter based on who the people you follow follow☆319Updated 6 years ago
- Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)☆1,014Updated 6 years ago
- A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.☆785Updated 5 years ago