dtchang

Results 10 issues of dtchang

Please provide a Tensorflow implementation at your earliest convenience. Thanks.

File "C:\AI\Code\- EntNet\siddk\preprocessor\reader.py", line 23, in parse vectorized_data.append(pickle.load(f)) TypeError: a bytes-like object is required, not 'str'

File "...\preprocessor\reader.py", line 51, in parse with open(pik_path, 'w') as f: FileNotFoundError: [Errno 2] No such file or directory: 'ckpt/train\\train.pik'

Please add explicit support for graph-structured data including - quantum graph kernels - quantum graph neural networks, particularly quantum graph convolutional networks

enhancement

It still is 1,0,

It is pretty bad. For comparison, HyperNetx is excellent; DHG is also much better.

Please provide tutorials with Qiskit code examples asap. Without them, QuASK is difficult to try.

Collecting dhg Using cached dhg-0.9.3-py3-none-any.whl.metadata (25 kB) Using cached dhg-0.9.2-py3-none-any.whl.metadata (25 kB) Collecting sklearn (from dhg) Using cached sklearn-0.0.post12.tar.gz (2.6 kB) Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python...

No support for DHG.

Please add support for nested hypergraph for which a hyperedge can contain nested hyperedges, thus supporting multi-level hyperedge-based modeling. Thanks.