QData / deep2ReadLinks
https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and related.
☆54Updated last year
Alternatives and similar repositories for deep2Read
Users that are interested in deep2Read are comparing it to the libraries listed below
Sorting:
- A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…☆32Updated 6 years ago
- Arxiv's ML papers network graph and browser☆80Updated 6 years ago
- Implementation of Symmetric SNE and t-SNE in numpy and python☆75Updated 4 years ago
- STATS385 course website☆89Updated 3 years ago
- Notes for ICML 2019☆38Updated 6 years ago
- Graph-based learning in Python☆17Updated 7 years ago
- A pytorch based classification experiments template☆47Updated 4 years ago
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- Machine-generated summaries and highlights of the every accepted paper at Thirty-second Conference on Neural Information Processing Syste…☆71Updated 6 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 9 years ago
- ☆17Updated 11 years ago
- kdd cup 2013 track1 code☆29Updated 12 years ago
- Collection of PyTorch-related utility functions☆29Updated 7 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 3 years ago
- f-divergence based t-SNE☆16Updated 3 years ago
- ☆75Updated 6 years ago
- Active Learning: Predictors, Recommenders and Labellers☆21Updated 2 years ago
- Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 20…☆18Updated 8 years ago
- Rectified Factor Networks☆37Updated 6 years ago
- CSCE 585 - Machine Learning Systems☆39Updated 3 weeks ago
- Material for my course: Optimization in Machine Learning☆32Updated 4 years ago
- Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning☆15Updated 8 years ago
- sciblox - Easier Data Science and Machine Learning☆50Updated 8 years ago
- Context Selection for Embedding Models☆27Updated 8 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 6 years ago
- Python implementation of the Iterative Classification Algorithm☆35Updated 8 years ago
- A study of the downstream instability of word embeddings☆12Updated 3 years ago
- notes on ML/CS/etc articles☆47Updated 6 years ago
- Code repo for "Transformer on a Diet" paper☆31Updated 5 years ago
- Simple and easy-to-understand ml algorithm implementations☆19Updated 8 years ago