yeha-adry
Hobby: watching videos on Disney+ / cooking (traditional carbonara, oil pasta, etc.)
Seoul National UniversitySeoul, South Korea
Pinned Repositories
adapter-transformers
Huggingface Transformers + Adapters
awesome-augmented-lm
⚡Research papers about leveraging the capabilities of language models⚡
awesome-generative-modeling
A curated list of Generative modeling tools, works, models, and references
awesome-mtl
2022 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
Awesome-PEFT
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
bark
🔊 Text-Prompted Generative Audio Model
cartography
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
CLIP
Contrastive Language-Image Pretraining
yeha-adry's Repositories
yeha-adry/adapter-transformers
Huggingface Transformers + Adapters
yeha-adry/awesome-augmented-lm
⚡Research papers about leveraging the capabilities of language models⚡
yeha-adry/awesome-generative-modeling
A curated list of Generative modeling tools, works, models, and references
yeha-adry/awesome-mtl
2022 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
yeha-adry/Awesome-PEFT
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
yeha-adry/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
yeha-adry/bark
🔊 Text-Prompted Generative Audio Model
yeha-adry/cartography
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
yeha-adry/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
yeha-adry/continual_learning_papers
Relevant papers in Continual Learning
yeha-adry/Cpp_algo
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
yeha-adry/data-centric-ai
Resources for Data Centric AI
yeha-adry/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
yeha-adry/dtreeviz
A python library for decision tree visualization and model interpretation.
yeha-adry/flash-attention
Fast and memory-efficient exact attention
yeha-adry/H3
Language Modeling with the H3 State Space Model
yeha-adry/ijepa
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."
yeha-adry/liquid-s4
Liquid Structural State-Space Models
yeha-adry/LLaMA-Adapter
Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
yeha-adry/LLMsPracticalGuide
yeha-adry/papers_
📖 Paper reading list in dialogue systems and natural language generation (constantly updating 🤗).
yeha-adry/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
yeha-adry/peft
Parameter-Efficient Fine-Tuning
yeha-adry/PLM_visual_planner
Code for “Pretrained Language Models as Visual Planners for Human Assistance”
yeha-adry/plotly.py
The interactive graphing library for Python (includes Plotly Express) :sparkles:
yeha-adry/shap
A game theoretic approach to explain the output of any machine learning model.
yeha-adry/spacetime
Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.
yeha-adry/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
yeha-adry/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
yeha-adry/yeha-adry.github.io