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Channel Posts
Repost from ml4se
+2Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
Adapters is a new open-source library based on the initial version of AdapterHub. It is aimed at unifying parameter-efficient and modular transfer learning. The library integrates 10 diverse adapter methods into a unified interface for easy usage and provides a simple way of leveraging the modularity of adapters by designing composition blocks.
GitHub: https://github.com/adapter-hub/adapters
| 2 | UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition https://arxiv.org/abs/2311.15599
via @dlinnlp_links | 168 |
| 3 | https://dangeng.github.io/visual_anagrams/ | 265 |
| 4 | Q-Transformer (Score: 151+ in 7 hours)
Link: https://readhacker.news/s/5V5QY
Comments: https://readhacker.news/c/5V5QY | 103 |
| 5 | roboflow/multimodal-maestro
Effective prompting for Large Multimodal Models like GPT-4 Vision or LLaVA. 🔥
Language: Python
#cross_modal #gpt_4 #gpt_4_vision #instance_segmentation #llava #lmm #multimodality #object_detection #prompt_engineering #segment_anything #vision_language_model #visual_prompting
Stars: 367 Issues: 1 Forks: 23
https://github.com/roboflow/multimodal-maestro | 110 |
| 6 |  so-vits-svc
Очень полноценный гайд о том как делать singing voice conversion. В references куча статей, из которых можно собирать промежуточные фичи (обратите внимание на whisper).
А вообще ору с того что анимешники захватывают Speech Tech
https://github.com/svc-develop-team/so-vits-svc | 106 |
| 7 | https://journals.biologists.com/jcs/article/121/11/1771/30038/The-importance-of-stupidity-in-scientific-research | 146 |
| 8 | https://github.com/MobileTeleSystems/CoolGraph | 135 |
| 9 | A Timeline of the OpenAI Board (Score: 150+ in 6 hours)
Link: https://readhacker.news/s/5UgD8
Comments: https://readhacker.news/c/5UgD8 | 172 |
| 10 | С генерацией картинок и текстов уже давно всё хорошо и мейнстрим, а музыка с видео пока отставали. Вот теперь Deepmind взялся за музыку:
https://deepmind.google/discover/blog/transforming-the-future-of-music-creation/ | 131 |
| 11 | No text... | 123 |
| 12 |  🔥 Библиотека RAPIDS от NVIDIA cделает Pandas в 150 раз быстрее без изменений кода.
Нужно прописать только это:
%load_ext cudf.pandas
import pandas as pd
🤖 Их библиотека RAPIDS cuDF сама определяет, доступна GPU или CPU, и ускоряет обработку.
💪 Колаб чтоб попробовать:
🥳 Репозиторий либы:
@datafeeling | 175 |
| 13 | https://openreview.net/forum?id=ZITOHWeAy7 | 155 |
| 14 | https://text-to-audio.github.io | 172 |
| 15 | Towards the Imagenets of ML4EDA https://arxiv.org/abs/2310.10560 | 153 |
| 16 | https://openreview.net/forum?id=sPLTQSf6GI | 159 |
| 17 | https://openreview.net/forum?id=liMSqUuVg9 | 130 |
| 18 | The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning https://sferrazza.cc/m3l_site/ | 115 |
| 19 | https://openreview.net/forum?id=Vota6rFhBQ | 144 |
| 20 | Contrastive Difference Predictive Coding https://chongyi-zheng.github.io/td_infonce/ | 116 |
