QData / deep2Read
https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and related.
☆54Updated 6 months ago
Alternatives and similar repositories for deep2Read:
Users that are interested in deep2Read are comparing it to the libraries listed below
- Graph-based learning in Python☆18Updated 6 years ago
- Weekly humanitarian AI reading group at Mila.☆21Updated 5 years ago
- Notes for ICML 2019☆38Updated 5 years ago
- Off the convex path☆67Updated 2 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 2 years ago
- ☆12Updated 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
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- Public course repo☆24Updated 5 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated this week
- A research into the workflow for Kaggle competition (and data science in general) collaboratively☆47Updated 8 years ago
- Collection of PyTorch-related utility functions☆28Updated 6 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 8 years ago
- Arxiv's ML papers network graph and browser☆79Updated 6 years ago
- STATS385 course website☆89Updated 2 years ago
- Semi-Supervised t-SNE using a Bayesian prior based on partial labelling☆42Updated 8 years ago
- ☆74Updated 5 years ago
- review of Deep Learning for Nature☆31Updated 9 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆56Updated 4 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Updated 4 years ago
- A pedagogical, functional-oriented deep learning library built on top of jax.☆15Updated 3 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 7 years ago
- The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …☆20Updated 3 years ago
- ☆45Updated 5 years ago
- This is a public collection of papers related to machine learning model interpretability.☆26Updated 3 years ago
- A study of the downstream instability of word embeddings☆12Updated 2 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- Deep Emotion Analysis with Elastic and PyTorch☆16Updated 6 years ago
- kdd cup 2013 track1 code☆28Updated 11 years ago
- Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano☆23Updated 10 years ago