Calibrated-Boosting-Forest
importedtherapeutics/calibrated-boosting-forest
Original implementation of Calibrated Boosting-Forest
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- drug-discovery · machine-learning · xgboost
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- DrugReasonerdrug-discovery · xgboost
Predicting drug approval with reasoning.
- ueduxgboost
UEDU: Mental health distress signal detection in student writing using psycholinguistic NLP. 40 features, XGBoost, Glass Box explainable engine. 100% local, no cloud AI needed.
Simulate a ventilator connected to a sedated patient's lung using XGBoost
- 50_layer_Resnetdrug-discovery
50 Layer Resnet to predict the regression values of Tetrahymena pyriformis IGC50 from 2d molecular images only
- AAVGendrug-discovery
Protein Language model for AAV capsid generation.
- ablanxdrug-discovery
JAX/Flax port of AbLang2's AbRep encoder: differentiable antibody language-model embeddings and per-block attention, loading the original weights unchanged.
- api.github.com/repos/haozhenWu/Calibrated-Boosting-Forestretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2017-11-21, 18 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as GPL-3.0, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/38.json→ .entries["calibrated-boosting-forest"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.