@BorealisAI
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BorealisAI

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  • Stars
    star
    2,272
  • Global Org. Rank 8,463 (Top 3 %)
  • Registered about 6 years ago
  • Most used languages
    Python
         84.6 %
    Jupyter Notebook
         10.3 %
    Roff     2.6 %
    C
         2.6 %
  • Location 🇨🇦 Canada
  • Country Total Rank 511
  • Country Ranking
    Roff     8
    Jupyter Notebook
         19
    Python
         146
    C
         1,807

Top repositories

1

advertorch

A Toolbox for Adversarial Robustness Research
Jupyter Notebook
1,273
star
2

noise_flow

Noise Flow: Noise Modeling with Conditional Normalizing Flows
Python
141
star
3

private-data-generation

A toolbox for differentially private data generation
Python
118
star
4

scaleformer

Python
93
star
5

SLAPS-GNN

PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
Python
82
star
6

de-simple

Diachronic Embedding for Temporal Knowledge Graph Completion
Python
80
star
7

continuous-time-flow-process

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
Python
41
star
8

ranksim-imbalanced-regression

[ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Python
40
star
9

lite_tracer

a light weight experiment reproducibility toolset
Python
39
star
10

pommerman-baseline

Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"
Python
37
star
11

mma_training

Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
Python
35
star
12

TSC-Disc-Proto

Discriminative Prototypes learned by Dynamic Time Warping (DTW) for Time Series Classification (TSC)
Python
30
star
13

MMoEEx-MTL

PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)
Python
30
star
14

mtmfrl

Multi Type Mean Field Reinforcement Learning
Python
27
star
15

CP-VAE

On Variational Learning of Controllable Representations for Text without Supervision https://arxiv.org/abs/1905.11975
Roff
27
star
16

cross_domain_coherence

A Cross-Domain Transferable Neural Coherence Model https://arxiv.org/abs/1905.11912
Python
24
star
17

bre-gan

Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · R. Huang
Jupyter Notebook
20
star
18

DT-Fixup

Optimizing Deeper Transformers on Small Datasets https://arxiv.org/abs/2012.15355
Python
15
star
19

rate_distortion

Evaluating Lossy Compression Rates of Deep Generative Models
Python
14
star
20

PROVIDE

PROVIDE: A Probabilistic Framework for Unsupervised Video Decomposition (UAI 2021)
Python
13
star
21

continuous-latent-process-flows

Code, data, and pre-trained models for the paper "Continuous Latent Process Flows" (NeurIPS 2021)
Python
12
star
22

code-gen-TAE

Code generation from natural language with less prior and more monolingual data
Python
12
star
23

OOS-KGE

PyTorch code of “Out-of-Sample Representation Learning for Multi-Relational Graphs” (EMNLP 2020)
Python
11
star
24

ssl-for-timeseries

Self Supervised Learning for Time Series Using Similarity Distillation
Python
10
star
25

efficient-vit-training

PyTorch code of "Training a Vision Transformer from scratch in less than 24 hours with 1 GPU" (HiTY workshop at Neurips 2022)
Python
10
star
26

keyphrase-generation

PyTorch code of “Diverse Keyphrase Generation with Neural Unlikelihood Training” (COLING 2020)
Python
6
star
27

latent-bottlenecked-anp

Python
6
star
28

nflow-cdf-approximations

Official implementation of "Efficient CDF Approximations for Normalizing Flows"
Python
6
star
29

BMI

Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer https://arxiv.org/abs/1905.11978
Python
5
star
30

IMLE

Code for differentially private Implicit Maximum Likelihood Estimation model
C
4
star
31

StayPositive

Python
4
star
32

towards-better-sel-cls

Python
4
star
33

eval_dr_by_wsd

Evaluating quality of dimensionality reduction map with Wasserstein distances
Jupyter Notebook
3
star
34

group-feature-importance

Group feature importance
Python
2
star
35

ProbForest

Differentiable relaxations of tree-based models.
Python
2
star
36

ConR

Contrastive Regularizer
Python
2
star
37

robust-gan

On Minimax Optimality of GANs for Robust Mean Estimation
Python
1
star
38

raps

Code for the paper "Causal Bandits without Graph Learning"
Jupyter Notebook
1
star
39

monotonicity-mixup

Code of "Not Too Close and Not Too Far: Enforcing Monotonicity Requires Penalizing The Right Points"
Python
1
star