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Top 23 Python neural-network Projects
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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NeMo
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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petals
πΈ Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
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dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
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igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
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NCRFpp
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
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As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development.
Project mention: faceswap VS facefusion - a user suggested alternative | libhunt.com/r/faceswap | 2024-01-30
Project mention: Step by step guide to create customized chatbot by using spaCy (Python NLP library) | dev.to | 2024-03-23Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):
Project mention: [P] Making a TTS voice, HK-47 from Kotor using Tortoise (Ideally WaveRNN) | /r/MachineLearning | 2023-07-06I don't test WaveRNN but from the ones that I know the best that is open source is FastPitch. And it's easy to use, here is the tutorial for voice cloning.
So how long until we can do an open source Mistral Large?
We could make a start on Petals or some other open source distributed training network cluster possibly?
[0] https://petals.dev/
Project mention: A Comprehensive Guide for Building Rag-Based LLM Applications | news.ycombinator.com | 2023-09-13This is a feature in many commercial products already, as well as open source libraries like PyOD. https://github.com/yzhao062/pyod
Project mention: ChaiNNer β Node/Graph based image processing and AI upscaling GUI | news.ycombinator.com | 2023-07-19There is already an AI framework named Chainer: https://github.com/chainer/chainer
Project mention: Composer β A PyTorch Library for Efficient Neural Network Training | news.ycombinator.com | 2023-08-18
Project mention: Show HN: Auto Wiki v2 β Turn your codebase into a Wiki now with diagrams | news.ycombinator.com | 2024-04-23https://github.com/awslabs/gluonts is a great candidate for a sample wiki. It is an OSS lib, not great documentation, very hard to RTFM (unlike, say, sklearn which already has a great wiki), doubtful that awslabs would pay to produce.
Project mention: Treebomination: Convert a scikit-learn decision tree into a Keras model | news.ycombinator.com | 2023-06-11
Project mention: Maxtext: A simple, performant and scalable Jax LLM | news.ycombinator.com | 2024-04-23Is t5x an encoder/decoder architecture?
Some more general options.
The Flax ecosystem
https://github.com/google/flax?tab=readme-ov-file
or dm-haiku
https://github.com/google-deepmind/dm-haiku
were some of the best developed communities in the Jax AI field
Perhaps the βtraxβ repo? https://github.com/google/trax
Some HF examples https://github.com/huggingface/transformers/tree/main/exampl...
Sadly it seems much of the work is proprietary these days, but one example could be Grok-1, if you customize the details. https://github.com/xai-org/grok-1/blob/main/run.py
The second link gives you the entire source code for training the model https://github.com/ajbrock/BigGAN-PyTorch/tree/master . Looks like BigGAN.py and BigGANdeep.py are the two files that define the architecture. Can you work with that?
Python neural-networks related posts
- Show HN: Auto Wiki v2 β Turn your codebase into a Wiki now with diagrams
- Release: Keras 3.3.0
- Fundamental Components of Deep Learning (category theory) [pdf]
- Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory
- Mamba-Chat: A Chat LLM based on State Space Models
- Keras 3: A new multi-back end Keras
- [P] Optimistix, nonlinear optimisation in JAX+Equinox!
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Index
What are some of the best open-source neural-network projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | Keras | 60,937 |
2 | faceswap | 49,178 |
3 | pytorch-tutorial | 29,093 |
4 | spaCy | 28,704 |
5 | fast-style-transfer | 10,864 |
6 | NeMo | 10,021 |
7 | Keras-GAN | 9,105 |
8 | petals | 8,661 |
9 | pyod | 7,941 |
10 | chainer | 5,862 |
11 | keras-rl | 5,489 |
12 | graph_nets | 5,322 |
13 | Augmentor | 5,023 |
14 | composer | 4,991 |
15 | gluonts | 4,277 |
16 | pytorch-forecasting | 3,590 |
17 | dm_control | 3,540 |
18 | hummingbird | 3,302 |
19 | igel | 3,080 |
20 | GAT | 3,045 |
21 | dm-haiku | 2,806 |
22 | BigGAN-PyTorch | 2,803 |
23 | NCRFpp | 1,877 |
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