ambigeV

ambigeV's Stars

• dragonfly/dragonfly

  An open source python library for scalable Bayesian optimisation.

  Language:Python850232

• oznof/BOIC

  Bayesian Optimization with Informative Covariance

  Language:Python1

• wadx2019/Neural-Bandit

  A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Exploration) and neuralTS(Neural Thompson sampling)

  Language:Python72

• LianeMakatura/ParetoGamuts

  Language:MATLAB6

• he-y/Multisize-Dataset-Condensation

  Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)

  Language:Python151

• wenhao-gao/mol_opt

  Language:Python17337

• BrachioLab/adversarial_prompting

  Language:Python535

• yunshengtian/DGEMO

  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations

  Language:Python10026

• samuelkim314/DeepSymReg

  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"

  Language:Python7022

• LavieLuo/DRMEA

  Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).

  Language:Python307

• lif314/awesome-NeRF-papers

  All NeRF-related papers at CVPR/ICCV/ECCV/NIPS/ICML/ICLR

  62627

• jindongwang/transferlearning-tutorial

  《迁移学习简明手册》LaTex源码

  Language:TeX2.5k493

• ohamelijnck/multi_res_gps

  Language:Python83

• GAMES-UChile/mogptk

  Multi-Output Gaussian Process Toolkit

  Language:Python16142

• jxhe/unify-parameter-efficient-tuning

  Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)

  Language:Python51444

• KordingLab/clustering-units-upstream-downstream

  Lange, R. D., Rolnick, D. S., and Kording, K. (2022) "Clustering units in neural networks: upstream vs downstream information." TMLR. https://openreview.net/forum?id=Euf7KofunK

  Language:Python6

• RobertCsordas/modules

  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

  Language:Python469

• VainF/Torch-Pruning

  [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

  Language:Python2.6k324

• mbzuai-nlp/LaMini-LM

  LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

  81149

• ano0002/Leap-Motion-Python-3.8

  The leap motion sdk(v3.2) recompiled for python 3.8

  Language:Python211

• suyashb95/LeapProjects

  Experiments with the Leap Motion API for Python

  Language:Python365

• nlptown/nlp-notebooks

  A collection of notebooks for Natural Language Processing from NLP Town

  Language:Jupyter Notebook946373

• helboukkouri/character-bert

  Main repository for "CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters"

  Language:Python19547

• wzzzd/lm_ner_span

  基于实体首尾指针SPAN的序列标注框架

  Language:Python245

• yuzhimanhua/Multi-BioNER

  Cross-type Biomedical Named Entity Recognition with Deep Multi-task Learning (Bioinformatics'19)

  Language:Python13228

• chariff/GPro

  Python package for Preference Learning with Gaussian Processes.

  Language:Python317

• Guang000/Awesome-Dataset-Distillation

  A curated list of awesome papers on dataset distillation and related applications.

  Language:HTML1.4k130

• cavalab/srbench

  A living benchmark framework for symbolic regression

  Language:Python21676

• facebookresearch/morbo

  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces

  Language:Python5213

• gerdm/prml

  Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

  Language:Jupyter Notebook2.1k485