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Projects in Awesome Lists by BorealisAI

A curated list of projects in awesome lists by BorealisAI .

https://github.com/borealisai/noise_flow

Noise Flow: Noise Modeling with Conditional Normalizing Flows

Last synced: 07 Apr 2025

https://github.com/borealisai/flora-opt

This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.

deep-learning flax jax large-language-models lora memory-efficient-tuning optax peft random-projection transformers

Last synced: 02 Sep 2025

https://github.com/borealisai/slaps-gnn

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

Last synced: 07 Sep 2025

https://github.com/borealisai/de-simple

Diachronic Embedding for Temporal Knowledge Graph Completion

Last synced: 14 Apr 2025

https://github.com/borealisai/neuzip

Official repository for the paper "NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks". This repository contains the code for the experiments in the paper.

Last synced: 02 Aug 2025

https://github.com/borealisai/ranksim-imbalanced-regression

[ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression

imbalanced-data imbalanced-learning imbalanced-regression regression

Last synced: 07 Apr 2025

https://github.com/borealisai/continuous-time-flow-process

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

generative-model neurips-2020 normalizing-flows pytorch stochastic-processes

Last synced: 07 Apr 2025

https://github.com/borealisai/lite_tracer

a light weight experiment reproducibility toolset

Last synced: 14 Jul 2025

https://github.com/BorealisAI/lite_tracer

a light weight experiment reproducibility toolset

Last synced: 02 May 2025

https://github.com/borealisai/pommerman-baseline

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

adversarial-search deep-reinforcement-learning multi-agent-reinforcement-learning pommerman reinforcement-learning

Last synced: 01 Aug 2025

https://github.com/borealisai/mma_training

Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"

adversarial-training robustness

Last synced: 07 Apr 2025

https://github.com/borealisai/tsc-disc-proto

Discriminative Prototypes learned by Dynamic Time Warping (DTW) for Time Series Classification (TSC)

dynamic-time-warping pytorch time-series-classification

Last synced: 07 Mar 2026

https://github.com/borealisai/mtmfrl

Multi Type Mean Field Reinforcement Learning

Last synced: 07 Apr 2025

https://github.com/borealisai/mmoeex-mtl

PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)

mixture-of-experts multi-task-learning pytorch

Last synced: 07 Apr 2025

https://github.com/borealisai/cp-vae

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

Last synced: 11 Feb 2026

https://github.com/borealisai/cross_domain_coherence

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

Last synced: 17 Aug 2025

https://github.com/borealisai/bre-gan

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

Last synced: 07 Apr 2025

https://github.com/borealisai/dt-fixup

Optimizing Deeper Transformers on Small Datasets https://arxiv.org/abs/2012.15355

Last synced: 07 Apr 2025

https://github.com/BorealisAI/DT-Fixup

Optimizing Deeper Transformers on Small Datasets https://arxiv.org/abs/2012.15355

Last synced: 20 Mar 2025

https://github.com/borealisai/rate_distortion

Evaluating Lossy Compression Rates of Deep Generative Models

Last synced: 07 Apr 2025

https://github.com/borealisai/provide

PROVIDE: A Probabilistic Framework for Unsupervised Video Decomposition (UAI 2021)

probabilistic pytorch uai unsupervised video-decomposition

Last synced: 07 Apr 2025

https://github.com/borealisai/code-gen-tae

Code generation from natural language with less prior and more monolingual data

Last synced: 09 Jul 2025

https://github.com/borealisai/continuous-latent-process-flows

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

neurips-2021 pytorch

Last synced: 07 Apr 2025

https://github.com/borealisai/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)

Last synced: 07 Apr 2025

https://github.com/borealisai/oos-kge

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

emnlp2020 knowledge-graph machine-learning pytorch

Last synced: 20 Jul 2025

https://github.com/borealisai/ssl-for-timeseries

Self Supervised Learning for Time Series Using Similarity Distillation

Last synced: 07 Apr 2025

https://github.com/borealisai/conr

Contrastive Regularizer

Last synced: 07 Apr 2025

https://github.com/borealisai/autocast-plus-plus

[ICLR'24] AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval

Last synced: 14 Apr 2025

https://github.com/borealisai/nflow-cdf-approximations

Official implementation of "Efficient CDF Approximations for Normalizing Flows"

Last synced: 07 Apr 2025

https://github.com/borealisai/group-feature-importance

Group feature importance

Last synced: 07 Apr 2025

https://github.com/borealisai/keyphrase-generation

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

generative-model keyphrase-generation machine-learning nlp pytorch seq2seq

Last synced: 25 Feb 2026

https://github.com/borealisai/bmi

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

Last synced: 07 Apr 2025

https://github.com/borealisai/imle

Code for differentially private Implicit Maximum Likelihood Estimation model

Last synced: 15 Jul 2025

https://github.com/borealisai/meta-tpp

PyTorch-Lightning implementation of Meta Temporal Point Processes

asynchronous-time-series meta-learning temporal-point-process time-series

Last synced: 21 Jun 2025

https://github.com/borealisai/sasrec-ccql

PyTorch code of "Robust Reinforcement Learning Objectives for Sequential Recommender Systems"

Last synced: 09 Nov 2025

https://github.com/borealisai/perturbed-forgetting

Training SAM, GSAM, ASAM with standard and OBF perturbations

Last synced: 26 Aug 2025

https://github.com/borealisai/eval_dr_by_wsd

Evaluating quality of dimensionality reduction map with Wasserstein distances

Last synced: 12 Apr 2025

https://github.com/borealisai/raps

Code for the paper "Causal Bandits without Graph Learning"

bandit-algorithms causality

Last synced: 12 Apr 2025

https://github.com/borealisai/probforest

Differentiable relaxations of tree-based models.

autograd lightgbm pytorch randomforest tree xgboost

Last synced: 27 Apr 2026

https://github.com/borealisai/dynashare-mtl

PyTorch Implementation of DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning

dynamic-neural-networks multi-task-learning pytorch

Last synced: 29 Apr 2026

https://github.com/borealisai/adaflood

Last synced: 12 Apr 2025

https://github.com/borealisai/robust-gan

On Minimax Optimality of GANs for Robust Mean Estimation

Last synced: 02 Jan 2026

https://github.com/borealisai/monotonicity-mixup

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

monotonicity neurips-2021 pytorch xai4debugging

Last synced: 16 May 2026

https://github.com/borealisai/dcf

Last synced: 12 Apr 2025