QKeras: a quantization deep learning library for Tensorflow Keras
- deep-learning
- quantization
- quantized-neural-networks
- hardware-acceleration
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QKeras: a quantization deep learning library for Tensorflow Keras
https://github.com/dmlc/xgboost
:loudspeaker: A JavaScript library to add voice commands to your sites, apps or games.
Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
A production-grade, high-efficiency Agentic RL framework for frontier LLMs with validated recipes.
Neural Networks written in go
[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Nimfa: Nonnegative matrix factorization in Python
A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.
An open-source read-along document reader server with high-quality TTS options, synchronized highlighting, and audiobook export for EPUB, PDF, DOCX, TXT, and MD.
Artificial Neural Network
Papermerge OSS
Fast Static Symbol Table (FSST): efficient random-access string compression
Vision-Language Pathology Foundation Model - Nature Medicine
A Euclidean diffusion model for structure-based drug design.
U-Net Brain Tumor Segmentation
TranslatedAI Paper System · AI paper generation, AI paper writing, one-click paper generation, AIGC rate reduction, plagiarism similarity reduction, thesis defense PPT · OEM white-label franchise recruitment
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
Translated斑海豹 (Spotted Seal) — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions.
Ming-3.0-tts is an open-source TTS model family with 0.5B dense and 7.9B-A1.3B MoE variants, supporting multilingual speech, voice cloning, voice design, and natural-language control.
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation