republiclabs.ai
Multi-model simultaneous generation from a single prompt, fully unrestricted and packed with the latest greatest AI models.
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resumedive.com
A brutally honest, occasionally kind, fully shareable roast of your résumé — with an ATS check, the fixes that matter, and your next move.
github.com
Extensible system for analyzing and manipulating natural language.
github.com
Testing infrastructure for LLM and agentic applications with collaborative evaluation.
github.com
Text processing tools and wrappers (e.g. Vowpal Wabbit).
github.com
Fast MATLAB-syntax runtime with automatic CPU/GPU execution and fused array kernels.
github.com
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...).
github.com
A tool to help you configure, organize, log and reproduce experiments.
github.com
A CLI utility to train and deploy ML/DL models on AWS SageMaker.
scalanlp.org
ScalaNLP is a suite of machine learning and numerical computing libraries.
github.com
High-performance, high-precision CPU, GPU, and memory profiler for Python.
github.com
Chrome extension that uses local LLMs to assist with writing and drafting responses based on the context of your open tabs.
github.com
A C++ library for unsupervised text tokenization and detokenization, widely used in modern NLP models.
docs.sillytavern.app
Documentation for SillyTavern, covering setup, features, and practical usage.
github.com
Natural Language Understanding library for intent classification and entity extraction.
github.com
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
spark.apache.org
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
mlsys.stanford.edu
Seminar series on the frontier of machine learning and systems.
github.com
A full port of Stanford NLP packages to.NET and also available precompiled as a NuGet package.
statsmodels.org
Python-based inferential statistics, hypothesis testing and regression framework.
superdatascience.com
The SuperDataScience podcast with Jon Krohn airs the most important topics on machine learning, AI, and data careers. Unleash your data skills.
surpriselib.com
A simple Python library for building and testing recommender systems.
usetailor.com
Get a daily podcast and newsletter, created for you by an AI.
github.com
Hyperparameter Optimization for TensorFlow, Keras and PyTorch.