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23 result(s) for “if cam favor site code web de site www novasol org site www pytorch com site site:github.com” · 1573 ms
Scope: Nishi’s own index (our crawl + Common Crawl) — not the whole live web. Some sites block all automated crawlers (anti-bot walls), so their pages may be absent here even though we never filter lawful content.
Freshness: no result on this page carries a fetch time yet (indexed before the fetch epoch was stored beside the doc)
GitHub - jacobgil/pytorch-grad-cam: Advanced AI Explainability for computer vision
from the top result below
https://github.com/jacobgil/pytorch-grad-cam
GitHub - jacobgil/pytorch-grad-cam: Advanced AI Explainability for computer vision
https://github.com/robbyant/lingbot-map
org/simple is only needed if your default pip index is an internal mirror that doesn't have flashinfer-python
https://github.com/topics/artificial-intelligence
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https://github.com/karpathy/nanogpt
I recommend getting the bleeding edge PyTorch nightly (select it here when installing) as it is currently quite likely to make your code more efficient
https://github.com/topics/character-ai
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https://github.com/index-tts/index-tts
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https://github.com/henk717/KoboldAI
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https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep
GitHub - wanshuiyin/Auto-claude-code-research-in-sleep: ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation
https://github.com/LostRuins/koboldcpp/wiki
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https://github.com/anuj0456/OpenArch
GitHub - anuj0456/OpenArch: PyTorch implementations of modern open-source LLM architectures (Llama, Qwen, DeepSeek, Gemma, GPT-OSS, Kimi, and more) — written from scratch for readability and learning, based on Sebastian Raschka's LLM Architecture Gallery
https://github.com/cursor/mixture-of-kittens
Performance
We evaluated MoK at two levels: standalone MoE layers, with all benchmark code available in benchmarks, and end-to-end training on our internal production stack across multiple NVL72 racks
https://github.com/orgs/huggingface/repositories
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https://github.com/oobabooga/textgen/wiki/11-%E2%80%90-AMD-Setup
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https://github.com/commoncrawl/web-graph-embeddings
That turns out to be a useful, cheap prior for site-level tasks: topical clustering, near-duplicate and mirror detection, candidate generation, and as a complementary feature for spam ranking
https://github.com/deepseek-ai/DeepSeek-OCR
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https://github.com/rapidsai/cugraph-gnn
Table of contents
RAPIDS cuGraph-GNN is a collection of GPU-accelerated plugins that support PyG, PyTorch, and a variety of other graph and GNN frameworks
https://github.com/oobabooga/textgen/wiki/04-%E2%80%90-Model-Tab
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https://github.com/jintae-00/ReDesign
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https://github.com/argonautlabsai/deltafin
If Deltafin helps make frontier models usable on a $15,000 home setup, instead of a $2,000,000 infrastructure like Kimi recommends, we believe that is worthwhile progress on our self-hosted AI journey
https://github.com/SenteLabsAI/OpenExecutive
The initial uv sync pulls heavy ML dependencies (ChromaDB + sentence-transformers/PyTorch), and the first boot downloads a small embedding model (~90 MB) to build the local vector index — so the first make dev takes a few minutes before the app is ready
https://github.com/Speedstu/CUDA-for-AMD-Windows
If you test another card, please open a GPU compatibility report, whether it works or fails
https://github.com/mlc-ai/web-llm
Overview
WebLLM is a high-performance in-browser LLM inference engine that brings language model inference directly onto web browsers with hardware acceleration
https://github.com/stemdeckapp/stemdeck
If you want stems for personal study and prefer to keep things local and free, StemDeck has you covered