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Top 23 Python neural-network Projects
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nn
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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Keras 3 multi-backend
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We use spaCy’s en_core_web_lg (Large) model as the underlying NLP engine. This gives the Redactor the linguistic context to understand that "Gatsby" in a book title should stay, but "Gatsby" mentioned as a person's name in a private letter might need to go.
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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)
For ASR/STT on a budget, you want https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3 - it works great on CPU.
I haven't tried on a raspberry pi, but on Intel it uses a little less than 1s of CPU time per second of audio. Using https://github.com/NVIDIA-NeMo/NeMo/blob/main/examples/asr/a... for chunked streaming inference, it takes 6 cores to process audio ~5x faster than realtime. I expect with all cores on a Pi 4 or 5, you'd probably be able to at least keep up with realtime.
(Batch inference, where you give it the whole audio file up front, is slightly more efficient, since chunked streaming inference is basically running batch inference on overlapping windows of audio.)
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petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
there are already projects like Petals https://github.com/bigscience-workshop/petals
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pyod
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
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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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TruLens: Evaluating Agent Workflows
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python neural-networks discussion
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Defeating Nondeterminism in LLM Inference
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SpaCy: Industrial-Strength Natural Language Processing (NLP) in Python
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AI - DBRX - Databricks - Documentando automaticamente suas tabelas e colunas do Unity Catalog
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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 | nn | 66,926 |
| 2 | Keras | 64,086 |
| 3 | faceswap | 55,268 |
| 4 | spaCy | 33,648 |
| 5 | pytorch-tutorial | 32,331 |
| 6 | NeMo | 17,342 |
| 7 | fast-style-transfer | 10,971 |
| 8 | petals | 10,171 |
| 9 | pyod | 9,876 |
| 10 | Keras-GAN | 9,206 |
| 11 | chainer | 5,917 |
| 12 | keras-rl | 5,553 |
| 13 | composer | 5,485 |
| 14 | graph_nets | 5,403 |
| 15 | gluonts | 5,198 |
| 16 | Augmentor | 5,143 |
| 17 | pytorch-forecasting | 4,913 |
| 18 | dm_control | 4,615 |
| 19 | llm-foundry | 4,404 |
| 20 | hummingbird | 3,536 |
| 21 | GAT | 3,509 |
| 22 | trulens | 3,378 |
| 23 | dm-haiku | 3,240 |
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