Pinned Repositories
2016
AD3
Alternating Directions Dual Decomposition
alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4
alphafold
Open source code for AlphaFold.
angrybirds
AI Final Project
apricot
apricot implements submodular selection for the purpose of selecting subsets of massive data sets to train machine learning models quickly.
arXausality
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
opveclib
The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the TensorFlow platform.
platoon
Multi-GPU mini-framework for Theano
fedorajzf's Repositories
fedorajzf/alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4
fedorajzf/apricot
apricot implements submodular selection for the purpose of selecting subsets of massive data sets to train machine learning models quickly.
fedorajzf/CEVAE
Causal Effect Inference with Deep Latent-Variable Models
fedorajzf/deepJDOT
Implementation of DeepJDOT in Keras
fedorajzf/Distributionally-Robust-Optimization
Experiments with distributionally robust optimization (DRO) for deep neural networks
fedorajzf/EMI
Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
fedorajzf/football
fedorajzf/gt
Source files for my course on Game Theory.
fedorajzf/Imitation-Learning-from-Observation
fedorajzf/keras-attention
Visualizing RNNs using the attention mechanism
fedorajzf/MatrixOptim
MILP, Robust Optim. and Stochastic Optim. with Decomposition Algorithm in Julia
fedorajzf/MDD
Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".
fedorajzf/MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
fedorajzf/MMD-GAN
Improving MMD-GAN training with repulsive loss function
fedorajzf/odl
Operator Discretization Library https://odlgroup.github.io/odl/
fedorajzf/otrobopt
Robust optimization module
fedorajzf/PIDOptimizer
Code for this CVPR 2018 paper: "A PID Controller Approach for Stochastic Optimization of Deep Networks", Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang.
fedorajzf/proxmin
Proximal optimization in pure python
fedorajzf/pyHSICLasso
Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
fedorajzf/regression-importance-sampling
Code release for "Importance Sampling with an Estimated Behavior Policy" (ICML 2019)
fedorajzf/rl
RL experiments
fedorajzf/SMDL
(IJCAI 2019) Submodular Batch Selection for Training Deep Neural Networks
fedorajzf/sparse_attention
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
fedorajzf/spectral_inference_networks
Implementation of Spectral Inference Networks, ICLR 2019
fedorajzf/SPIBB
Safe Policy Improvement with Baseline Bootstrapping
fedorajzf/SPIBB-DQN
Code for the model-free version of "Safe Policy Improvement with Baseline Boostrapping"
fedorajzf/strat_models
A distributed method for fitting Laplacian regularized stratified models.
fedorajzf/thesis
Differentiable Optimization-Based Modeling for Machine Learning
fedorajzf/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
fedorajzf/wae-rnf-lm
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399