medium.datadriveninvestor.com
Post by Travis Tang from DataDrivenInvestor.
Directory
Search results
Published directory entries matching your search.
third-bit.com
A book titled JavaScript for Data Science by Maya Gans, Toby Hodges, and Greg Wilson, version 4.0, dated January 2020. It covers topics such as callbacks, promises, objects, classes, HTML, CSS, React, data services, testing, data visualization, and a three-tier web application, with an even mix of browser and server programming. It is intended for scientists and engineers.
github.com
A public GitHub template repository for data science lifecycle projects. It provides a default directory structure including folders for code, data, docs, environments, notebooks, pipelines and tests, plus issue templates and a .github labels file. The source describes it as a launch-off point with minimal opinions. One manual step is creating labels from the labels file.
github.com
Deepchecks is an open-source project for validating machine learning models and data from research to production. It includes built-in and custom checks and suites for tabular, NLP and CV validation, CI and testing management, and monitoring of deployed models. Installation is via pip.
github.com
Analyzes structured data and helps produce queries, insights or visualizations.
sciruby.com
SciRuby is a project providing tools for scientific computing and data visualization in Ruby. Its releases include NMatrix, a linear algebra library with dense and sparse matrix storage and tensor support, alongside visualization and statistics gems. The project describes itself as currently alpha, and it notes its gems are tested but not battle-hardened. SciRuby and NMatrix are available under the BSD three-clause license.
chris-said.io
A personal blog by Chris Said, a data scientist at Propel. The blog is mostly about statistics, technology, and science, and the site links to blog posts on topics such as A/B testing and statistics.
cartodb.github.io
Odyssey.js is an open source tool that combines maps, narratives and other multimedia into stories. It offers templates including scrolling, slide based and temporal designs, and Actions for map movements and content display. The sandbox lets users test the library and edit story content with Markdown. It is an early-stage project developed by cartodb.com with Knight Foundation funding.
github.com
Statsmodels is a Python package that complements scipy for statistical computations, including descriptive statistics and estimation and inference for statistical models. It provides linear regression models, generalized linear models, discrete models, time series analysis, survival analysis, multivariate methods and a range of statistical tests.
learning.oreilly.com
Supports software work with AI-assisted coding, testing or application development.
anyword.com
Anyword is a generative AI content platform and performance API for go-to-market teams. It adds A/B-tested data and brand context to prompts and works with any AI model or application. The platform includes a data-driven editor, content intelligence, brand voice features, and integrations with marketing channels such as Google Ads, Meta, and LinkedIn.
edwardlib.org
Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for experimentation and research with probabilistic models, from hierarchical models on small data sets to deep probabilistic models on large data sets. It fuses Bayesian statistics and machine learning, deep learning, and probabilistic programming, and is built on TensorFlow.
github.com
Evidently is an open-source observability framework for machine learning and large language models, hosted on GitHub under the evidentlyai organization. It enables users to evaluate, test, and monitor AI-powered systems and data pipelines, with support for use cases ranging from tabular data processing to generative AI, and includes more than 100 built-in metrics.
blog.kusho.ai
A blog covering the AI movement and offering practical advice for builders. Posts include topics such as QA stacks for enterprise engineering teams, free tools for generating API test data, continuous security scanning, browser extensions for QA engineers, and quality assurance versus testing.
victorzhou.com
A beginner-friendly guide on using Keras to implement a simple neural network in Python. It walks through MNIST handwritten digit classification, covering setup, data preparation, building the model, compiling, training, testing and using the model. It is intended for complete beginners to Keras who have a basic background knowledge of neural networks.
madewithml.com
Made With ML is an educational resource by Anyscale that teaches how to responsibly design, develop, deploy and iterate on production machine learning applications. Its lessons cover design, data preparation, model training, development, testing, reproducibility and production.
github.com
Mamba-Chat is a chat language model built on a state-space model architecture rather than a transformer. The repository provides training and fine-tuning code based on a modified Huggingface Trainer class. The model is based on Mamba-2.8B and was fine-tuned on 16,000 samples of the HuggingFaceH4/ultrachat_200k dataset. Code is provided for testing and fine-tuning, including a command-line chatbot and a Gradio app.
muckbrass.com
MuckBrass is a website for discovering and validating startup ideas using AI. It presents a curated list of business ideas with search volume and competition data, and offers an AI-powered startup idea generator and a tool to test ideas. The site is aimed at aspiring entrepreneurs and startup founders.
github.com
A C++ implementation of an Ordinary Least Squares solver and linear regression engine with zero external dependencies. It uses a custom matrix library, modified Gram-Schmidt orthogonalization and QR decomposition. It includes a CSV test dataset from the Czech film market and computes error metrics such as RSS and MAE.
github.com
PyTorch Geometric Temporal is a temporal extension library for PyTorch Geometric. It contains dynamic and temporal geometric deep learning, embedding and spatio-temporal regression methods from published research papers. It includes a dataset loader, train-test splitter and temporal snapshot iterator for dynamic and temporal graphs, with GPU support and benchmark datasets.
quix.io
Quix is described as an agentic AI platform for hardware engineering. It turns test-rig and sensor data into real-time insight and is presented as automating engineering workflows across the V, from requirements through verification, validation and operation.
github.com
Rapaio is a statistics, data mining, and machine learning toolbox written in Java. It includes distributions, hypothesis testing, Naive Bayes, logistic regression, decision trees, random forests, boosting, SVM, PCA, and KMeans.
statsmodels.org
Statsmodels is a Python module providing classes and functions for estimating statistical models, conducting statistical tests, and statistical data exploration. It supports model specification using R-style formulas and pandas DataFrames, and is released under the open source Modified BSD (3-clause) license.
systemdesigner.net
System Designer is a learning site offering interactive lessons and case studies on system design. Its Machine Learning Systems section covers building production ML systems, from data pipelines to deployment, with topics such as distributed training, model serving, MLOps monitoring and A/B testing. Lessons are organized into units with stated difficulties and durations.