be4646b4创建于 2023年7月14日历史提交
文件最后提交记录最后更新时间
added KRNN and Sandwich models and their example results based on Alpha360 (#1414) * Update README.md updated the result of KRNN and Sandwich models based on Alpha360 * Update README.md * Update README.md * Add files via upload * Update README.md * Update README.md * Update README.md * Add files via upload * Delete pytorch_krnn.py * Delete pytorch_sandwich.py * Add files via upload * Update pytorch_sandwich.py * Update pytorch_krnn.py * Update pytorch_sandwich.py * Update pytorch_krnn.py * Update README.md * Update README.md * Update requirements.txt * Update requirements.txt * Update README.md * Update README.md * Update pytorch_sandwich.py * Update link on index --------- Co-authored-by: Young <afe.young@gmail.com>2 年前
added KRNN and Sandwich models and their example results based on Alpha360 (#1414) * Update README.md updated the result of KRNN and Sandwich models based on Alpha360 * Update README.md * Update README.md * Add files via upload * Update README.md * Update README.md * Update README.md * Add files via upload * Delete pytorch_krnn.py * Delete pytorch_sandwich.py * Add files via upload * Update pytorch_sandwich.py * Update pytorch_krnn.py * Update pytorch_sandwich.py * Update pytorch_krnn.py * Update README.md * Update README.md * Update requirements.txt * Update requirements.txt * Update README.md * Update README.md * Update pytorch_sandwich.py * Update link on index --------- Co-authored-by: Young <afe.young@gmail.com>2 年前
Adjust rolling api (#1594) * Intermediate version * Fix yaml template & Successfully run rolling * Be compatible with benchmark * Get same results with previous linear model * Black formatting * Update black * Update the placeholder mechanism * Update CI * Update CI * Upgrade Black * Fix CI and simplify code * Fix CI * Move the data processing caching mechanism into utils. * Adjusting DDG-DA * Organize import2 年前
README.md

Sandwich

Introductions about the settings/configs.

  • Torch_geometric is used in the original model in FOST, but we didn't use it. make use your CUDA version matches the torch version to allow the usage of GPU, we use CUDA==10.2 and torch.version==1.12.1