Results for “robot-learning”
22 skills
jiachen-t-wang autoaugment-learning-augmentation-strategies-from-data-arxiv
AutoAugment: Learning Augmentation Strategies from Data
6
bouclem deep-learning
PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production
7 · bundle
microsoft continual-learning
Implements a continual learning loop for AI coding agents using hooks, two-tier memory (global and local), and automatic pattern detection to persist and apply learnings across sessions.
2.7k
jiachen-t-wang multimodal-few-shot-learning-with-frozen-language-models-arx
Multimodal Few-Shot Learning with Frozen Language Models
6
affaan-m continuous-learning
Automatically evaluates Claude Code sessions to extract reusable patterns and save them as learned skills.
226k · bundle
jarbitechture learn
Recursive self-improving holon λ(ο,Κ,Σ).τ' for knowledge compounding and schema evolution. USE WHEN learning, improving, optimizing, assessing, reflecting, debugging, synthesizing, or refining—whether human, AI, or organizational. Triggers on /learn, /compound, /improve, /refine, /optimize, /assess, /reflect, "lessons learned", "best practices", "continuous improvement". Preserves Κ-monotonicity, η≥4, homoiconicity.
0 · bundle
jiachen-t-wang lora-low-rank-adaptation-of-large-language-models-arxiv-2106
LoRA: Low-Rank Adaptation of Large Language Models
6
anantha-236 continuous-learning
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
1 · bundle
jiachen-t-wang matryoshka-representation-learning-arxiv-2205-13147v4
Matryoshka Representation Learning
6
jiachen-t-wang training-compute-optimal-large-language-models-arxiv-2203-15
Training Compute-Optimal Large Language Models
6
jiachen-t-wang towards-open-world-segmentation-of-parts-arxiv-2305-06914v3
Towards Open-World Segmentation of Parts
6
wzyn20051216 ros-robotics
Develop, migrate, and debug ROS 1 and ROS 2 robotics projects with support for build systems, navigation, control, simulation, and embedded integration.
54 · bundle
shenxingy learn
Record, search, and prune per-project learnings in .claude/learnings.jsonl — typed, confidence-scored, searchable across sessions
8 · bundle
jiachen-t-wang multimodal-learning-with-transformers-a-survey-arxiv-2206-06
Multimodal Learning with Transformers: A Survey
6
jarbitechture lambda
Universal transformation λ(ο,K).τ with recursive self-improvement. USE WHEN routing reasoning, validating knowledge graphs, preparing CICM/ANZCA examinations, or when self-improvement of reasoning/architecture/context is required. Routes queries through R0-R3 complexity pipelines, validates topology (η≥target) and governance (KROG), emits per style (Φ), and compounds learnings into knowledge K. Triggers on complexity assessment, multi-step reasoning, examination mode, or /λ invocation.
0 · bundle
orchestra-research openrlhf-training
Train large language models (7B-70B+) with RLHF using PPO, GRPO, DPO, and other algorithms, accelerated by Ray and vLLM for distributed multi-GPU setups.
10.4k · bundle
jiachen-t-wang scaling-instruction-finetuned-language-models-arxiv-2210-114
Scaling Instruction-Finetuned Language Models
6
paramchordiya algorithms-and-data-structures
Enforces complexity analysis, correct data structure selection, vectorization, and algorithm implementation discipline at principal-engineer level.
0
jiachen-t-wang openclip-an-open-source-implementation-of-clip-arxiv-2212-07
OpenCLIP: An Open Source Implementation of CLIP
6
ssrjkk pytorch
Builds and trains deep learning models with PyTorch, including tensors, autograd, and neural network modules.
2 · bundle
jiachen-t-wang glip-grounded-language-image-pre-training-arxiv-2112-03857v2
GLIP: Grounded Language-Image Pre-training
6
qcmuu openrlhf-training
High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.
0 · bundle