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fangwei123456
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
OPENAGENTSKILL / DIRECTORY
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96 Skills
Hasil: 96
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Explore the skillfangwei123456
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
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Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
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Explore the skillmrdbourke
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
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Explore the skillLearningCircuit
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private docum…
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MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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Explore the skillMikoto10032
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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Explore the skillzilliztech
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
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Explore the skillAnotiaWang
(Supports DeepSeek R1) An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language…
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Explore the skilllessweb
Deep Code 是专为 deepseek-v4 模型优化的终端 AI 编码助手,支持深度思考、推理强度控制以及 Agent Skills。
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Explore the skilljolibrain
Deep Learning Server and CLI for Torch and TensorRT
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Explore the skillSkyworkAI
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top…
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Paper reading notes on Deep Learning and Machine Learning
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Explore the skillXiangyue-Zhang
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
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Explore the skillpytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Explore the skillpytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.