#machine-learning

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

NLTK Source

A library for transfer learning by reusing parts of TensorFlow models.

🦉 Data Versioning and ML Experiments

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

:robot: ML algorithms implemented from scratch and provided block by block

Image augmentation for machine learning experiments.

Topic Modelling for Humans

header only, dependency-free deep learning framework in C++14

State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.

An intuitive library to add plotting functionality to scikit-learn objects.

Synpse is an all-in-one solution to manage your servers and IoT devices providing declarative app deployment, SSH access and TCP tunnels

This is a text generation method which returns a generator, streaming out each token in real-time during inference, based on Huggingface/Transformers.

Опис репозиторію не опубліковано.

CCS: Generate Highly Accurate Single-Molecule Consensus Reads (HiFi Reads)

Опис репозиторію не опубліковано.

Опис репозиторію не опубліковано.

AutoMR-Framework

A tool to extract plain (unformatted) multilingual / language-agnostic text, redirects, links and categories from wikipedia backups (dumps). Designed to prepare clean training data for AI Training / Machine Learning software.

Опис репозиторію не опубліковано.

A library for soundscape synthesis and augmentation

A python library for working with ProteinNet data

A torch.compile backend that pays attention: custom FX fusion passes, a Triton LayerNorm kernel, and a persistent compile cache. Apache-2.0 free core of the g2n platform.

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