Machine learning, in numpy
- machine-learning
- neural-networks
- topic-modeling
- gaussian-mixture-models
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Machine learning, in numpy
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Keras code and weights files for popular deep learning models.
The Abstraction and Reasoning Corpus
OpenMMLab Text Detection, Recognition and Understanding Toolbox
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
TranslatedA Zhuyin (Bopomofo) input method that needs no character selection: it uses a Transformer locally to choose characters based on the preceding text. Supports Linux (Fcitx5/IBus), macOS, and Windows.
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Witcher is the first framework for using AFL to fuzz web applications.
Ruby port of the NLTK Punkt sentence segmentation algorithm
Fully functional implementation of FCNNs with Back Prop