Search Results for "compressor" - Page 5
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Showing 110 open source projects for "compressor"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Help implement an industrial strength Burrows-Wheeler transform compressor! Initial release covers block-sort, MTF coding, RLE coding, Huffman coding
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Web data Zip Stream (de)Compressor is a java applet that allows web masters to house large web pages in compressed .zip files and then have it dynamically uncompress and display on the client browser as if it were a regular webpage.
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Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
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Lintar is a compressor/decompressor utility for the gnome 2.0 platform. It\'s aim is to emulate the famous winzip but being just better.
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Kexis - A lossless WAV file compressor. Kexis' main goal is to develop prediction and encoding schemes to minimize compressed file size. Kexis strives to be the premier lossless sound encoder.
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A dictionary based compressor, that is is different from Lempel Ziv encoding that it doesn't use match lengths and does not need perfect matches.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Mistral Large 3 675B Instruct 2512 NVFP4
Quantized 675B multimodal instruct model optimized for NVFP4
...This NVFP4 checkpoint is a post-training-activation quantized version of the original instruct model, created through a collaboration between Mistral AI, vLLM, and Red Hat using llm-compressor. It retains the same instruction-tuned behavior as the FP8 model, making it ideal for production assistants, agentic workflows, scientific tasks, and long-context enterprise systems. The model integrates a 673B-parameter MoE language backbone with a 2.5B-parameter vision encoder, enabling rich multimodal analysis across text and images. ...
