pycox
bittensor
| pycox | bittensor | |
|---|---|---|
| 1 | 4 | |
| 756 | 781 | |
| - | 4.5% | |
| 0.0 | 9.6 | |
| 9 months ago | 6 days ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | MIT License |
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pycox
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[D] Time-varying covariates in survival analysis
take a look at https://github.com/havakv/pycox
bittensor
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Has anyone else used the bittensor/subnet1 model? Is there a way to use it outside of the horde?
You are connected through the validator "Tensor.Exchange", and I recently upped the amount of workers to enhance its speed. What it runs on the background is literally a mixture of different models working in parallel to give the best response, more information about this can be found on www.bittensor.com or on their Discord.
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LLM@home
Today I came across bittensor / Tao network. https://github.com/opentensor/bittensor
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[D] I don't really trust papers out of "Top Labs" anymore
Have a look at Bittensor - www.bittensor.com
- Bittensor: Internet-Scale Neural Networks
What are some alternatives?
pytorch-forecasting - Time series forecasting with PyTorch
CortexTheseus - Cortex - AI on Blockchain, Official Golang implementation
pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
SD_Coin - This is an open source blockchain network and crytocurrency project. It exists for people to build and use their own blockchain networks. Or to join the network created by others.
scikit-survival - Survival analysis built on top of scikit-learn
zeronet-conservancy - zeronet-conservancy is a client for decentralized p2p web 0net, focusing on preserving 0net and transition to riza network
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
GeneticAlgorithmPython - Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
koila - Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.
snntorch - Deep and online learning with spiking neural networks in Python
torchsynth - A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.