Shivansh Singh

@avinashkranjan look at this error and please assign it to me. I'm almost done with it.

Hi @rbharath, While debugging issue #4537, I discovered that DeepChem doesn't support Python 3.12 due to version restrictions in setup.py (`python_requires='>=3.7,

**Testing Results: Python 3.10 vs 3.11 numpy Compatibility** I've tested the numpy version conflict across Python environments and found the root cause: **Python 3.10.18:** - numpy 2.3.2: ❌ Cannot install...

Hi @UNCG-JSNN! This is the same environment compatibility issue we discussed in #4537. **Root Cause:** DeepChem 2.8.0 doesn't officially support Python 3.12 yet (setup.py restricts to

Hi @rbharath ! Thanks for prioritizing Python 3.12 support - this will help many users facing Colab compatibility issues. @JoseAntonioSiguenza - I'd be happy to collaborate on this if you'd...

Hi! I've successfully reproduced this issue in a clean Python 3.9 environment. **Environment Details:** - Python 3.9.16 - DeepChem 2.8.0 - Fresh conda environment **Reproduction Confirmed:**

@rbharath Thanks for the clarification! I understand DeepChem intentionally keeps backends as optional dependencies for flexibility and to avoid forcing heavy installations. Given this design choice, I think improving the...

Hi @UNCG-JSNN , I saw the maintainer suggested checking if PyTorch/TensorFlow is installed. To give you clear next steps: **Please run:** `pip install torch` **Then restart your IDE completely** and...

Hi @UNCG-JSNN ! I've reproduced your NaN loss issue and found the definitive root cause. Your earlier script gave me these errors while data loading: So i changed the script...

Hi @UNCG-JSNN ! After systematically debugging your NaN loss issue, I discovered the core problem is dataset complexity causing featurization failures, not your model architecture. For your current urgency, rather...