Plugins
3 plugins@atc-net
Azure
Azure services skills covering 200+ cloud services, IoT, AI, data, networking, and more
78 skills · plugin
curated
Deploy GKE Cluster
Creates a GKE cluster, configures networking, sets up observability, and applies reliability patterns.
5 skills · plugin
curated
Secure Google Cloud Workload
Assesses security requirements, identifies risks, and provides actionable recommendations for IAM, network, and data protection.
4 skills · plugin
Results for “network”
14 skills
k-dense-ai Deepchem
Predict molecular properties, train graph neural networks, and run drug discovery workflows using DeepChem's featurizers, models, and MoleculeNet benchmarks.
30.2k · bundle
orchestra-research Sparse Autoencoder Training
Train and analyze Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features for mechanistic interpretability research.
10.4k · bundle
nvidia Tao Train Optical Inspection
Trains, evaluates, exports, and runs inference for Siamese-network-based optical inspection models to detect manufacturing defects and quality issues in image pairs.
2.2k · bundle
k-dense-ai Torchdrug
Build and train graph neural networks for drug discovery, protein modeling, and molecular science using PyTorch-native tools.
30.2k · bundle
smith6jt-cop Pytorch Common Pitfalls
Fixes common PyTorch bugs including percentile calculations, LayerNorm for Conv1d, and buffer edge cases in reinforcement learning and neural network code.
3
k-dense-ai Pytorch Lightning
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.
30.2k · bundle
More results
k-dense-ai Pennylane
Train quantum circuits like neural networks with automatic differentiation, device-independent programming, and integration with PyTorch or JAX.
30.2k · bundle
orchestra-research Nnsight Remote Interpretability
Run interpretability experiments on neural network internals using nnsight, with optional NDIF remote execution for massive models.
10.4k · bundle
dvcrn Soma
Guides users through participating in the SOMA decentralized training network, covering data submission, model training, reward claiming, and strategic optimization.
32 · bundle
qhjqhj00 Tctb
Evaluates the throughput and resource allocation efficiency of RIS-aided mobile edge computing systems by measuring the total computation task bits successfully completed under varying network conditions.
3
lord1egypt Sparse Autoencoder Training
Trains and analyzes Sparse Autoencoders (SAEs) with SAELens to decompose neural network activations into interpretable features, covering loading pre-trained SAEs, training custom ones, and feature steering.
2
qhjqhj00 Latency
Measures inference latency of binarized, 8-bit, and 32-bit convolutional layers on edge devices to evaluate the efficiency and speedup of the Larq Compute Engine framework compared to standard implementations.
3
mukul975 Detecting Anomalies In Industrial Control Systems
Deploys anomaly detection for industrial control environments using machine learning models trained on OT network baselines, physics-based process models, and behavioral analysis of industrial protocol communications.
24.6k · bundle
luokai0 Cda
Provides domain knowledge on the Causal Dynamics Architecture (CDA), an alternative AI computing architecture based on causal graphs and Hamiltonian dynamics, with references for deep dives.
10 · bundle