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Top 15 Python Rnn Projects
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RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
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WorkOS
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InfluxDB
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tinysleepnet
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively
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DeepMalwareDetector
A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
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AREnets
Tensorflow-based framework which lists attentive implementation of the conventional neural network models (CNN, RNN-based), applicable for Relation Extraction classification tasks as well as API for custom model implementation
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deepNOID
deepNOID, the binary music genre classifier which determines if what you're listening to really is NOIDED
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SaaSHub
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https://github.com/BlinkDL/RWKV-LM#rwkv-discord-httpsdiscord... lists a number of implementations of various versions of RWKV.
https://github.com/BlinkDL/RWKV-LM#rwkv-parallelizable-rnn-w... :
> RWKV: Parallelizable RNN with Transformer-level LLM Performance (pronounced as "RwaKuv", from 4 major params: R W K V)
> RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). And it's 100% attention-free. You only need the hidden state at position t to compute the state at position t+1. You can use the "GPT" mode to quickly compute the hidden state for the "RNN" mode.
> So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding (using the final hidden state).
> "Our latest version is RWKV-6,*
Project mention: Pointers to reduce false negatives while not sacrificing accuracy in deep learning | /r/datascience | 2023-06-24
Python Rnn related posts
- Lyrebird the Linux voice changer now supports PipeWire
- How the RWKV language model works
- Pointers to reduce false negatives while not sacrificing accuracy in deep learning
- I created a simple implementation of the RWKV language model (RWKV competes with the dominant Transformers-based approach which is the "T" in GPT)
- [P] Raven 7B & 14B 🐦(RWKV finetuned on Alpaca+CodeAlpaca+Guanaco) and Gradio Demo for Raven 7B
- [D] Totally Open Alternatives to ChatGPT
- [R] RWKV 14B ctx8192 is a zero-shot instruction-follower without finetuning, 23 token/s on 3090 after latest optimization (16G VRAM is enough, and you can stream layers to save more VRAM)
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A note from our sponsor - InfluxDB
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Index
What are some of the best open-source Rnn projects in Python? This list will help you:
Project | Stars | |
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1 | RWKV-LM | 11,579 |
2 | ChatRWKV | 9,266 |
3 | eda_nlp | 1,536 |
4 | wtte-rnn | 756 |
5 | ConvLSTM-PyTorch | 350 |
6 | sentence-classification | 235 |
7 | easyesn | 131 |
8 | tinysleepnet | 94 |
9 | DeepMalwareDetector | 65 |
10 | thesis | 15 |
11 | AREnets | 7 |
12 | RNN-Twitter-Bot | 7 |
13 | pytorch_deep_learning | 6 |
14 | deepNOID | 4 |
15 | Machine-Learning-Game-Ideas | 0 |