Search Results for "pyscripter python 2" - Page 10
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Showing 234 open source projects for "pyscripter python 2"
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Cellicone is a project to develop an artificial life organism with the necessary components to make it comparable to biological life as we know it. This includes components ranging from proteins to cells to organs to limbs, and many steps between.
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Veggente is a semantic bridge between incompatible protocols. Initial implementation will include support for bridging between HL7 version 3 and HL7 version 2.
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Mistral 7B
A powerful, efficient language model designed for high-performance
Mistral 7B is a 7.3-billion-parameter language model that outperforms several competing models, including Llama 2 13B, across various benchmarks. Notably, it excels in tasks related to reasoning, comprehension, and code generation, while maintaining impressive performance on general English tasks. The model uses advanced techniques like Grouped-Query Attention (GQA) for faster inference and Sliding Window Attention (SWA) to efficiently handle longer sequences. Released under the Apache 2.0... -
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whisper-large-v3
High-accuracy multilingual speech recognition and translation model
... input and better support for Cantonese, achieving up to 20% error reduction over Whisper-large-v2. It handles zero-shot transcription and translation, performs language detection automatically, and supports features like word-level timestamps and long-form audio processing. The model integrates well with Hugging Face Transformers and supports optimizations such as batching, SDPA, and Flash Attention 2. -
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Meta-Llama-3-8B-Instruct
Instruction-tuned 8B LLM by Meta for helpful, safe English dialogue
... available data and more than 10 million human-annotated examples, it excludes any Meta user data. The model is released under the Meta Llama 3 Community License, which allows commercial use for organizations with fewer than 700 million MAUs, and imposes clear use, attribution, and redistribution rules. Meta provides safety tools like Llama Guard 2 and Code Shield to help developers implement system-level safety in applications. -
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whisper-large-v3-turbo
Whisper-large-v3-turbo delivers fast, multilingual speech recognition
..., temperature fallback, and timestamp prediction. Whisper-large-v3-turbo works with long-form and real-time audio, with chunked or sequential inference options. Optimizations such as torch.compile, Flash Attention 2, and SDPA are available to enhance performance. Despite being smaller than v3, it retains strong robustness to accents, noise, and zero-shot tasks, making it ideal for scalable, multilingual ASR use cases. -
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Monk Computer Vision
A low code unified framework for computer vision and deep learning
Monk is an open source low code programming environment to reduce the cognitive load faced by entry level programmers while catering to the needs of Expert Deep Learning engineers. There are three libraries in this opensource set. - Monk Classiciation- https://monkai.org. A Unified wrapper over major deep learning frameworks. Our core focus area is at the intersection of Computer Vision and Deep Learning algorithms. - Monk Object Detection -... -
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stable-diffusion-v1-4
Text-to-image diffusion model for high-quality image generation
stable-diffusion-v1-4 is a high-performance text-to-image latent diffusion model developed by CompVis. It generates photo-realistic images from natural language prompts using a pretrained CLIP ViT-L/14 text encoder and a UNet-based denoising architecture. This version builds on v1-2, fine-tuned over 225,000 steps at 512×512 resolution on the “laion-aesthetics v2 5+” dataset, with 10% text-conditioning dropout for improved classifier-free guidance. It is optimized for use with Hugging Face’s... -
Picsart Enterprise Background Removal API for Stunning eCommerce VisualsWith our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
