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The SuperDataScience podcast with Jon Krohn airs the most important topics on machine learning, AI, and data careers. Unleash your data skills.
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surpriselib.com
A simple Python library for building and testing recommender systems.
github.com
A neuro-symbolic framework for building applications with LLMs at the core.
github.com
Synthetic tabular data generation using GANs, Diffusion Models, and LLMs with adversarial filtering and privacy metrics.
usetailor.com
Get a daily podcast and newsletter, created for you by an AI.
github.com
Hyperparameter Optimization for TensorFlow, Keras and PyTorch.
lablab.ai
List of AI tools suggested by lablab.ai for their hackathons.
github.com
Authors: Cal.com core team, Dexter Storey,.
replicate.com
Run GFPGAN created by tencentarc, the #1 AI model for Practical Face Restoration. Restore old photos or AI generated faces with GFPGAN.
tensorflow.org
Open-source machine learning framework by Google.
github.com
Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
github.com
Inference engine for TensorRT on Nvidia GPUs.
tbench.ai
Coding agents help developers plan, implement, review, test, and debug software. For independent capability comparisons, see SWE-bench and.
testdriver.ai
The @testdriverai in any GitHub repo and TestDriver writes UI tests and catches regressions before they merge. AI-powered end-to-end testing.
tidytextmining.com
A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.
github.com
Large Language Model Text Generation Inference.
github.com
Text preprocessing package for use in NLP tasks.
github.com
Creates, rewrites or summarizes written content with language models.
github.com
TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
github.com
Flexible, high-performance serving system for machine learning models.
thelmbook.com
A concise, technical introduction by Andriy Burkov.
airisk.mit.edu
The MIT AI Risk Initiative produces authoritative data and frameworks to help you identify, prioritize, and manage the risks from AI.
piszek.com
Just like the IKEA Effect, but for the AI products. Try not to overenginner when working with LLMs.
Creates, rewrites or summarizes written content with language models.