Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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📚 Programming in Parallel with CUDA (2024)

1⃣ Join Channel Download:
https://t.iss.one/+MhmkscCzIYQ2MmM8

2⃣ Download Book: https://t.iss.one/c/1854405158/1715

💬 Tags: #cuda

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🔥 Trending Repository: LMCache

📝 Description: Supercharge Your LLM with the Fastest KV Cache Layer

🔗 Repository URL: https://github.com/LMCache/LMCache

🌐 Website: https://lmcache.ai/

📖 Readme: https://github.com/LMCache/LMCache#readme

📊 Statistics:
🌟 Stars: 4.3K stars
👀 Watchers: 24
🍴 Forks: 485 forks

💻 Programming Languages: Python - Cuda - Shell

🏷️ Related Topics:
#fast #amd #cuda #inference #pytorch #speed #rocm #kv_cache #llm #vllm


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🔥 Trending Repository: vllm

📝 Description: A high-throughput and memory-efficient inference and serving engine for LLMs

🔗 Repository URL: https://github.com/vllm-project/vllm

🌐 Website: https://docs.vllm.ai

📖 Readme: https://github.com/vllm-project/vllm#readme

📊 Statistics:
🌟 Stars: 55.5K stars
👀 Watchers: 428
🍴 Forks: 9.4K forks

💻 Programming Languages: Python - Cuda - C++ - Shell - C - CMake

🏷️ Related Topics:
#amd #cuda #inference #pytorch #transformer #llama #gpt #rocm #model_serving #tpu #hpu #mlops #xpu #llm #inferentia #llmops #llm_serving #qwen #deepseek #trainium


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