segyio
quickai
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| segyio | quickai | |
|---|---|---|
| 1 | 7 | |
| 461 | 162 | |
| 1.7% | - | |
| 5.6 | 3.7 | |
| 5 months ago | 26 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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segyio
quickai
- Show HN: QuickAI Version 2 Released
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QuickAI version 2 released!
I originally released QuickAI here. I am very excited to announce version 2 of QuickAI
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QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
GitHub: https://github.com/geekjr/quickai
- Show HN: Quickai – Quickly experiment with state-of-the-art ML models
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quickai - A Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
Yeah, totally agree. https://github.com/geekjr/quickai/blob/main/quickai/image_classification.py does really need some reworking. Dicts are the way to go. But once that's done, I think it could actually be a practical lib!
What are some alternatives?
Lenia - Lenia - Mathematical Life Forms
detoxify - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].
bottleneck - Fast NumPy array functions written in C
gpt-neo_dungeon - Colab notebooks to run a basic AI Dungeon clone using gpt-neo-2.7B
ME-PHYS_Undergraduate_Courses - Here will be some of the codes I used whilst studying Mechanical Engineering and Physics at the Bilkent University.
YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
chappie.ai - Generalized AI to perform a multitude of tasks written in python3
Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
TabFormer - Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers
rtdl - Research on Tabular Deep Learning [Moved to: https://github.com/yandex-research/rtdl]