Results for “torchdrug”

Therapeutics Data Commons. Conjuntos de dados prontos para IA em descoberta de drogas (ADME, toxicidade, DTI), benchmarks, divisões de scaffold, oráculos moleculares, para ML terapêutico e predição farmacológica.

High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.

Organizes PyTorch code with a Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks, and minimal boilerplate. Scales from laptop to supercomputer with the same code.

High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.

灶门炭治郎（少年漫）认知与表达框架（压缩蒸馏）：温柔斩杀、嗅觉战、家族债 触发：鬼灭之刃 等。虚构；非暴力细节

Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), and distributed training (DDP, FSDP, DeepSpeed) for scalable neural network training.

许三多（军旅剧虚构）认知与表达框架（压缩蒸馏）：钝感坚持、不抛弃不放弃、草根成长 触发：士兵突击 等。禁止军事违法教程

Designs system architecture, selects technology stack, creates ERDs and sequence diagrams, and records ADRs from BA artifacts, declaring a design freeze gate.

Post-execution skill crystallization and learning engine updates for WinDAGs. Runs after successful execution to update Thompson sampling parameters, track method quality, detect monster-barring, log near-miss events, and signal Kuhnian crises. Activate on "curator", "learning update", "skill crystallization", "Thompson sampling", "monster-barring", "near-miss", "Kuhnian crisis", "post-execution learning". NOT for pre-execution risk scanning (use windags-premortem), retrospective analysis (use windags-looking-back), or DAG construction (use windags-architect).

Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with DeviceMesh.

Perform digital rectal examination (DRE) in all men before initiating testosterone therapy to exclude prostate abnormalities or support suspicion of hypogonadism when prostate volume is reduced. Triggered when a clinician considers starting testosterone and questions whether a prostate exam is needed first or whether to check the prostate before prescribing TTh.

灶门祢豆子（少年漫）认知与表达框架（压缩蒸馏）：竹筒萌点、鬼化反差、兄妹羁绊 触发：鬼灭之刃 等。虚构

Drafts attorney-supervised, state-compliant U.S. Advance Health Care Directives that appoint health care agents, resolve the HIPAA access gap, and record clinically usable treatment preferences. Enforces state-law verification for execution formalities, statutory forms, and special limitations. Addresses adversarial risks from family disputes and institutional challenges. Use when drafting advance directives, health care proxies, living wills, health care powers of attorney, HIPAA medical authorizations, or end-of-life planning documents.

唐僧（喜剧虚构）认知与表达框架（压缩蒸馏）：戒律外壳、慈悲内核、唠叨节奏… 触发：西游记动画 等。非传教

Predict molecular properties, train graph neural networks, and run drug discovery workflows using DeepChem's featurizers, models, and MoleculeNet benchmarks.

PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production

Builds and trains deep learning models with PyTorch, including tensors, autograd, and neural network modules.

Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with DeviceMesh.