Search Results for "easy python decompiler" - Page 27
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657 programs for "easy python decompiler" with 1 filter applied:
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Crowdtesting That Delivers | TesteumTesteum connects your software, app, or website to a worldwide network of testers, delivering detailed feedback in under 48 hours. Ensure functionality and refine UX on real devices, all at a fraction of traditional costs. Trusted by startups and enterprises alike, our platform streamlines quality assurance with actionable insights. Click to perfect your product now.
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Think REST with any language, PHP / Python / C / C++ and others, this is a easy-use web framework, include: Cache Manage, Status Manage, URL Manage, Remote Access API, Different Language Access Layer
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chatglm-6b
Bilingual 6.2B parameter chatbot optimized for Chinese and English
... preferences. It is particularly tailored to Chinese dialogue scenarios while maintaining strong English capabilities. The model can be deployed locally on consumer-grade GPUs, requiring as little as 6GB of VRAM using INT4 quantization. ChatGLM-6B is open-source and free for academic and commercial use upon registration. It features easy-to-use APIs, sample chatbot interactions, and is backed by the GLM research family, with further upgrades available in newer versions like ChatGLM2. -
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mms-300m-1130-forced-aligner
CTC-based forced aligner for audio-text in 158 languages
... to the TorchAudio forced alignment API. Users can integrate it easily through the Python package ctc-forced-aligner, and it supports GPU acceleration via PyTorch. The alignment pipeline includes audio processing, emission generation, tokenization, and span detection, making it suitable for speech analysis, transcription syncing, and dataset creation. This model is especially useful for researchers and developers working with low-resource languages or building multilingual speech systems. -
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yolo-world-mirror
Mirror of Ultralytics YOLO-World model weights for object detection
yolo-world-mirror is a hosted mirror of the model weights for YOLO-World, a variation of the YOLO (You Only Look Once) object detection architecture, designed and maintained by Ultralytics. This Hugging Face repository by Bingsu provides easy access to the pre-trained weights used in YOLO-World, supporting a range of visual tasks. YOLO-World expands the object detection framework to handle open-vocabulary detection, where the model can detect novel object classes based on textual input... -
Secure remote access solution to your private network, in the cloud or on-prem.OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
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ERNIE-4.5-0.3B-Base-PT
Compact 360M text model with high efficiency and fine-tuning support
... with support for SFT, LoRA, and DPO training methods, making it highly adaptable. Compatible with the Hugging Face Transformers library, the model can be easily used in Python for inference or deployed via FastDeploy. This variant emphasizes portability and accessibility, enabling fast deployment even on less powerful hardware. Ideal for developers seeking a smaller model for prototyping, educational use, or lightweight production tasks. -
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whisper-large-v3-turbo
Whisper-large-v3-turbo delivers fast, multilingual speech recognition
Whisper-large-v3-turbo is a high-performance automatic speech recognition (ASR) and translation model developed by OpenAI, based on a pruned version of Whisper large-v3. It reduces decoding layers from 32 to 4, offering significantly faster inference with only minor degradation in accuracy. Trained on over 5 million hours of multilingual data, it handles speech transcription, translation, and language identification across 99 languages. It supports advanced decoding strategies like beam... -
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voice-activity-detection
Detects speech activity in audio using pyannote.audio 2.1 pipeline
The voice-activity-detection model by pyannote is a neural pipeline for detecting when speech occurs in audio recordings. Built on pyannote.audio 2.1, it identifies segments of active speech within any audio file, making it valuable for preprocessing tasks like transcription, diarization, or voice-controlled systems. The model was trained using datasets such as AMI, DIHARD, and VoxConverse, and it requires users to authenticate via Hugging Face for access. To use the model, users must accept...
