VectorSpaceLab

Routes Chainer workflows for training, export, distributed learning, ChainerX, and checkout maintenance.

The English summary is being prepared. Showing the original description.

Use code-review-graph for local-first CLI/MCP code knowledge graphs, graph-backed code review, structural search, and repository-analysis integrations.

The English summary is being prepared. Showing the original description.

Routes CogDL graph-learning workflows for experiments, graph data, models, training wrappers, and pipeline apps.

The English summary is being prepared. Showing the original description.

Routes Cognee AI memory platform tasks across SDK memory APIs, graph/RAG retrieval, configuration, custom pipelines, session memory, CLI, API, MCP, and deployment workflows.

The English summary is being prepared. Showing the original description.

Use ColabFold for protein structure prediction workflows: validate FASTA/CSV/A3M inputs, generate MSAs, plan batch predictions, inspect outputs, and troubleshoot optional AlphaFold, MMseqs2, JAX, GPU, and OpenMM dependencies.

The English summary is being prepared. Showing the original description.

Routes EEG, ECoG, MEG, and related electrophysiology deep-learning workflows through the braindecode Python package, including dataset construction, preprocessing, model training, augmentation, and interpretation.

The English summary is being prepared. Showing the original description.

Operate ComfyUI-LTXVideo custom nodes for LTX-2 video, audio, IC-LoRA, prompt-conditioning, and advanced ComfyUI workflows.

The English summary is being prepared. Showing the original description.

Use ColossalAI for distributed PyTorch training, large-model parallelism, Booster plugins, ShardFormer, Colossal-Inference, and first-party application workflow routing.

The English summary is being prepared. Showing the original description.

Use ComfyUI as a modular AI content-creation engine: launch and automate the server, submit API workflows, validate graph JSON, author custom nodes, and configure model paths/backends.

The English summary is being prepared. Showing the original description.

Use Brian2 for clock-driven spiking-neural-network modeling, simulation, synaptic connectivity, input generation, recording, physical-unit equations, spatial neurons, runtime code generation, and C++ standalone workflows.

The English summary is being prepared. Showing the original description.

Routes CenterNet object-detection training, evaluation, configuration, and setup workflows.

The English summary is being prepared. Showing the original description.

Use Chai Lab / Chai-1 for molecular structure prediction, input preparation, MSA/template setup, restraints, glycans, and repo-specific troubleshooting.

The English summary is being prepared. Showing the original description.

Guides ChatGLM2-6B Transformers inference, local demos, FastAPI/OpenAI-compatible serving, C-Eval evaluation, and P-Tuning v2 fine-tuning.

The English summary is being prepared. Showing the original description.

Routes CUT/FastCUT/SinCUT workflows, dataset preparation, and launcher presets for the contrastive-unpaired-translation repository.

The English summary is being prepared. Showing the original description.

Use Chemprop 2.2.3 for molecular property prediction: CLI training, prediction, fingerprints, data validation, Python APIs, reaction/atom-bond tasks, uncertainty, hpopt, and conversion workflows.

The English summary is being prepared. Showing the original description.

Use ColBERT/colbert-ai for late-interaction retrieval: prepare data, inspect configs, train/fine-tune, index collections, search rankings, update indexes, serve search, evaluate MS MARCO/LoTTE outputs, or reason about Baleen multi-hop retrieval.

The English summary is being prepared. Showing the original description.

Use CAMEL-AI to build, configure, tool, remember, evaluate, and troubleshoot multi-agent Python systems with self-contained routing across agents, models, tools, RAG, and evaluation workflows.

The English summary is being prepared. Showing the original description.

Use CausalML for causal inference, uplift modeling, matching, validation, interpretation, and treatment optimization workflows.

The English summary is being prepared. Showing the original description.

Use CausalNex to learn causal structures, fit Bayesian networks, discretize features, generate synthetic graph data, and run inference, evaluation, and latent-variable workflows.

The English summary is being prepared. Showing the original description.

Use CellTypist for single-cell RNA-seq cell type annotation, model management, custom classifier training, CLI usage, and result visualization workflows.

The English summary is being prepared. Showing the original description.

Operate ChatterBot conversational dialog engine workflows, including chatbot setup, training, logic adapters, storage backends, Django integration, and optional LLM adapters.

The English summary is being prepared. Showing the original description.

Route Chinese-BERT-wwm model loading, model selection, benchmark data, and troubleshooting workflows for HFL Chinese BERT-family resources.

The English summary is being prepared. Showing the original description.

Route Chinese-LLaMA-Alpaca model reconstruction, inference/deployment, training/fine-tuning, and evaluation workflows.

The English summary is being prepared. Showing the original description.

Use Chonkie for text/document chunking, pipelines, embeddings, CLI/API serving, and storage integrations.

The English summary is being prepared. Showing the original description.