Stars
Supporting code for Welch Labs AI Book
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Code for the Kaggle Ensembling Guide Article on MLWave
Solutions to the Meta practice coding challenges.
What would you do with 1000 H100s...
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Automatically generate Go test boilerplate from your source code.
The smartest way to learn touch typing and improve your typing speed.
🔥Highlighting the top ML papers every week.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
Apache Beam is a unified programming model for Batch and Streaming data processing.
TFX is an end-to-end platform for deploying production ML pipelines
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Fast and Accurate ML in 3 Lines of Code
A Hyperparameter Tuning Library for Keras
An Emacs framework for the stubborn martian hacker
This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"