Best deep learning skills, page 6

Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13).

wshobson/agents

A skill your agent uses when creating, migrating, or debugging pixi environments, especially for scientific Python, bioinformatics, single-cell analysis, CUDA/PyTorch, Jupyter/VS Code kernels…

xuzhougeng/wisp-science

Write, review, and run high-level xTBloom Python GFN2-xTB inference with Calculator, Structure, and BatchCalculator, including single systems, repeated geometry updates, heterogeneous ragged…

jinzhezenggroup/computational-chemistry-agent-skills

Root-cause a vLLM torch-nightly CI regression report. An agent skill from pytorch/test-infra.

pytorch/test-infra

Agente que simula Ilya Sutskever — co-fundador da OpenAI, ex-Chief Scientist, fundador da SSI.

sickn33/agentic-awesome-skills

Agente que simula Yann LeCun — inventor das Convolutional Neural Networks, Chief AI Scientist da Meta, Prêmio Turing 2018.

sickn33/agentic-awesome-skills

Sub-skill técnica de Yann LeCun. An agent skill from sickn33/agentic-awesome-skills.

sickn33/agentic-awesome-skills

Diagnose a stated code, JAX, Marin, Iris, Zephyr, or TPU fault or startup/performance regression; do not activate for ordinary implementation or optimization without a symptom.

marin-community/marin

Set up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP.

sickn33/agentic-awesome-skills

Contribute to the Elodin Python SDK (nox-py). An agent skill from elodin-sys/elodin.

elodin-sys/elodin

A skill your agent uses when you need a runnable PyTorch training repo for a medical-imaging task (segmentation, classification, detection, synthesis, self-supervised, or fine-tuning a pretrained…

Aperivue/medsci-skills

Design/train/audit imaging DL pipelines, splits, tuning and validation; not deployment studies.

huang-sir1/radiology-skills

Assists building spiking neural network simulations: neuron models, connectivity, plasticity rules

NeuroAIHub/BrainPilot

Surplus-quota training loop over the ax graph - the agent burns the remaining 5h/7d plan-quota window on self-improvement: locking pending verdicts, filling briefs, backtesting routing classes…

Necmttn/ax

Universal Runtime best practices for PyTorch inference, Transformers models, and FastAPI serving.

llama-farm/llamafarm

Sequence-based deep learning for ATAC-seq using chromBPNet, BPNet, scBasset, or Enformer.

GPTomics/bioSkills

Discovers de novo motifs and tests known motif enrichment in ChIP-seq, ATAC-seq, or other peak sequences using HOMER, MEME-ChIP (STREME, CentriMo, TOMTOM, FIMO), monaLisa, and AME.

GPTomics/bioSkills

Predict RBP binding from RNA sequence using deep learning models (RBPNet sequence-to-signal, RNAProt RNN, GraphProt2 GCN with structure, DeepCLIP, DeepRiPe multi-modal CNN) for variant-effect…

GPTomics/bioSkills

Trains and applies base-resolution deep learning models on ChIP-seq / ChIP-nexus / CUT&RUN data.

GPTomics/bioSkills

Build clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eICU, OMOP, SleepEDF, ChestXray14, EHRShot), defining tasks (mortality…

BioTender-max/awesome-bio-agent-skills

Cell segmentation from multiplexed tissue images. An agent skill from FreedomIntelligence/OpenClaw-Medical-Skills.

FreedomIntelligence/OpenClaw-Medical-Skills

Predict peptide-MHC class I and II binding affinity using MHCflurry and NetMHCpan neural network models.

FreedomIntelligence/OpenClaw-Medical-Skills

Predict TCR-epitope specificity using ERGO-II and deep learning models for T-cell receptor antigen recognition.

FreedomIntelligence/OpenClaw-Medical-Skills

Polish assemblies and call variants from Oxford Nanopore data using medaka.

FreedomIntelligence/OpenClaw-Medical-Skills

Deep learning-based variant calling with Google DeepVariant.

FreedomIntelligence/OpenClaw-Medical-Skills

Deep learning-based variant calling from long reads using Clair3 for SNPs and small indels.

FreedomIntelligence/OpenClaw-Medical-Skills

Build and debug masked one-dimensional elementwise kernels for Triton-Ascend, including launch wrappers and PyTorch/NPU correctness checks.

Krusty84/triton-ascend-agent-dev-kit

Predicts whether a DNA variant alters mRNA splicing using sequence-based deep-learning tools — SpliceAI (10kb context dilated CNN, clinical default), Pangolin (multi-tissue), MMSplice (modular…

GPTomics/bioSkills

Run PyTorch training across GPUs with minimal changes. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

Speed up long-sequence transformer training and inference. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

Fully sharded data-parallel training for large models. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

Pretrain LLMs at scale with PyTorch 4D parallelism. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

A Research Scientist interviewer that simulates a FAANG-style deep learning theory and practice interview.

PrepLabsAI/InterviewMentor

Applies Judea Pearl's causal reasoning frameworks to distinguish correlation from causation, evaluate AI capabilities, and make counterfactual decisions.

K-Dense-AI/mimeo

Applies the reasoning, principles, and frameworks of Jürgen Schmidhuber (LSTM co-inventor and deep learning pioneer).

K-Dense-AI/mimeo

Applies the reasoning style of Kaiming He, computer vision pioneer and creator of ResNet.

K-Dense-AI/mimeo

Applies the reasoning of Pieter Abbeel, robotics and reinforcement learning expert, UC Berkeley professor, and co-founder of Covariant.

K-Dense-AI/mimeo

Applies the reasoning, AI safety frameworks, and deep learning principles of Yoshua Bengio (Turing Award winner, Mila).

K-Dense-AI/mimeo

Manage GPU compute jobs on the Qizhi (启智) platform using qzcli — a kubectl-style CLI tool.

AI4Scientist/nano-scientist

Convert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated job using flare.patch(trainer), local validation, and job export; use when the user names…

NVIDIA/skills

Calls germline small variants (SNPs and indels) from Oxford Nanopore and PacBio HiFi long reads with Clair3, a two-stage (pileup + full-alignment) deep-learning caller, selecting the chemistry- and…

GPTomics/bioSkills

Predicts protein and complex structures with deep-learning models (ESMFold, AlphaFold2/ColabFold, AlphaFold3, Chai-1, Boltz-1/2) and reconciles them with confidence metrics.

GPTomics/bioSkills

Fallback loader for the canonical PyTorch ci-metrics skill. An agent skill from pytorch/test-infra.

pytorch/test-infra

Train ML models on Databricks. An agent skill from databricks/databricks-agent-skills.

databricks/databricks-agent-skills

Execute this skill allows AI assistant to construct and configure neural network architectures using the neural-network-builder plugin.

jeremylongshore/tons-of-skills-marketplace

Optimize deep learning models using Adam, SGD, and learning rate scheduling to improve accuracy and reduce training time.

jeremylongshore/tons-of-skills-marketplace

Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse…

NVIDIA/skills

Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and…

NVIDIA/skills