semvec/pypi-packages huggingface dataset:
thsolver 1.2.1
Solver for PyTorch
License: MIT
Requires Python: >=3.6

# The Solver for PyTorch

[![PyPI Downloads](https://static.pepy.tech/badge/thsolver)](https://pepy.tech/project/thsolver)
[![PyPI](https://img.shields.io/pypi/v/thsolver)](https://pypi.org/project/thsolver/)


The code can be used for training/testing PyTorch models. It is used in the
[O-CNN](https://github.com/octree-nn/ocnn-pytorch) and my daily experiments.
It is similar to `pytorch-lightning`, but with much simpler implementations.
It can be installed via `pip` and used as a library:

- Install via the following command:
    ``` shell
    pip install thsolver
    ```

- Alternatively, install from the source code via the following commands.
    ``` shell
    git clone https://github.com/octree-nn/solver-pytorch.git
    pip install ./solver-pytorch
    ```

Welcome to use it and give me feedbacks via github issues or pull requests.
Thanks!
anna-protocol 1.0.0
ANNA Protocol SDK - Making AI Decisions Accountable
License: MIT
Requires Python: >=3.8
Keywords: blockchain, ai, accountability, ethereum, polygon, web3

# ANNA Protocol SDK

**Making AI Decisions Accountable**

ANNA Protocol is a blockchain infrastructure that makes AI decisions auditable, traceable, and trustworthy.

## 🚀 Quick Start

### Installation
```bash
pip install anna-protocol
```

### Basic Usage
```python
from anna_protocol import ANNAClient, create_reasoning

# Initialize client
client = ANNAClient(
    private_key="0x...",
    network="polygon-amoy"
)

# Create reasoning
reasoning = create_reasoning(
    input_text="Credit analysis for customer #123",
    steps=[
        ("Score verification", "Credit score: 750"),
        ("Income analysis", "Monthly income: $5,000"),
        ("Decision", "APPROVED - Low risk profile")
    ],
    conclusion="Credit APPROVED",
    confidence=0.95
)

# Submit attestation
result = client.submit_attestation(
    content="Customer #123 credit analysis",
    reasoning=reasoning,
    category="credit_analysis"
)

print(f"Registered on blockchain!")
print(f"Attestation ID: {result.attestation_id}")
```

## 📚 Features

- ✅ **Blockchain-based Audit Trail** - Immutable record of AI decisions
- ✅ **Easy Integration** - Add 10 lines of code to your existing AI
- ✅ **Reputation System** - Build trust through verified decisions
- ✅ **LGPD/GDPR Compliant** - Only hashes on-chain, data stays private
- ✅ **Multi-chain Support** - Polygon Amoy (testnet) and Mainnet

## 🎯 Use Cases

- **FinTech** - Credit analysis, fraud detection
- **LegalTech** - Contract review, legal advice
- **HealthTech** - Medical triage, diagnosis support
- **InsurTech** - Risk assessment, claims processing
- **RegTech** - KYC/AML compliance

## 📖 Documentation

Full documentation: https://annaprotocol.github.io/annaprotocol/

## 🔐 Security

- EIP-712 signature validation
- On-chain verification system
- Audited smart contracts
- Privacy-preserving architecture

## 📞 Support

- Website: https://annaprotocol.github.io/annaprotocol/
- Email: antoniorjr4@gmail.com
- Telegram: https://t.me/AntonioRufino27

## 📜 License

MIT License - see LICENSE file for details