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Related: Agentic Coding · Large Language Models · Deep Learning · Machine Learning · Prompt Engineering · Transformers · Reinforcement Learning · Git

Notes

• 17 Stunning & Modern UNIX Tools — Modern Rust/Go CLI replacements for classic UNIX commands
• A Coder Considers the Waning Days of the Craft — Programmer's first-person reflection on GPT-4 displacing coding craft
• A successful Git branching model — Git-flow branching model with master, develop, feature, release, hotfix branches
• Book — Free comprehensive textbook covering all Git concepts
• Carbon — open source ERP, MES and QMS for manufacturing — Open-source API-first ERP/MES/QMS for manufacturers
• Example script demonstrating the use of BioPython to compare genomic sequences at a given gene location. — BioPython script comparing sample sequences to reference genome for SNP detection
• Flappy Bird RL — Q-learning agent trained to play Flappy Bird in JavaScript
• GitHub - AshleyF/VimSpeak: Speak to your editor. — Voice control tool for Vim using natural language speech
• GitHub - CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers: aka \"Bayesian Methods for Hackers\ — Open-source computation-first Bayesian inference book using PyMC
• GitHub - Landcruiser87/numpy_SMU — Collection of 100 NumPy exercises for learning and teaching
• GitHub - Olshansk/interview: Everything you need to prepare for your technical interview — Curated resource list for software engineering technical interview preparation
• GitHub - OpenADMET/openadmet-models: Machine learning workflows for the OpenADMET project — Open-source ML framework for drug ADMET property prediction tasks
• GitHub - PatrickJS/awesome-cursorrules — Curated collection of Cursor AI project rule configuration files
• GitHub - RL-Research-Cohiba/Reinforcement_Learning: Reinforcement Learning research — GitHub repo collecting reinforcement learning research resources and links
• GitHub - XinmengLiao/Open_MoA: Open MoA is a potent tool for identifying the underlying drug mechanism of actions (MoAs), core biological pathways, and key targets. — R tool predicting drug mechanism of action via network topology
• GitHub - ahgroup/DSAIDE: R Package - Dynamical Systems Approach to Infectious Disease Epidemiology — R package teaching infectious disease epidemiology via simulation apps
• GitHub - audreyfeldroy/favicon-cheat-sheet: Obsessive cheat sheet to favicon sizes/types. — Comprehensive reference for favicon file sizes, formats, and HTML markup
• GitHub - awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets. — Curated topic-centric directory of high-quality public datasets
• GitHub - badaramoni/wave-field-llm: Wave Field AI — a efficient attention architecture for language models — O(N log N) FFT-based attention replacing quadratic dot-product attention
• GitHub - bmtgoncalves/pyNASA — Python library for accessing NASA open datasets
• GitHub - catalyst-team/dl-course: Deep Learning with Catalyst — Open-source deep learning course using PyTorch and Catalyst framework
• GitHub - codecrafters-io/build-your-own-x: Master programming by recreating your favorite technologies from scratch. — Curated collection of step-by-step guides for building technologies from scratch
• GitHub - darrenburns/elia: A snappy, keyboard-centric terminal user interface for interacting with large language models. — Keyboard-focused terminal app for chatting with multiple LLM providers
• GitHub - eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning. — Bare-bones NumPy educational implementations of ML algorithms
• GitHub - eugeneyan/applied-ml — Curated industry ML blog posts and papers from production deployments
• GitHub - googlecodelabs/tools: Codelabs management & hosting tools — Google Codelabs authoring and hosting toolkit using claat CLI
• GitHub - huggingface/education-toolkit: Educational materials for universities — Hugging Face free open-source ML education toolkit for universities and workshops
• GitHub - hyperopt/hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python — Python library for serial and parallel hyperparameter search over complex spaces
• GitHub - jessevig/bertviz: BertViz: Visualize Attention in Transformer Models — Interactive Jupyter tool visualizing transformer attention weights
• GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. — Curated multi-language catalog of machine learning frameworks and libraries
• GitHub - kvh/ramp: Rapid Machine Learning Prototyping in Python — Pandas-based Python library for declarative ML feature and model exploration
• GitHub - lihaoyi/macropy: Macros in Python: quasiquotes, case classes, LINQ and more! — Python library enabling AST-transforming syntactic macros at import time
• GitHub - pkmital/tensorflow_tutorials: From the basics to slightly more interesting applications of Tensorflow — TensorFlow tutorial series from basics through autoencoders and residual networks
• GitHub - poteto/hiring-without-whiteboards — Curated list of companies using practical non-whiteboard interview processes
• GitHub - rcamino/multi-categorical-gans: Code for the paper \"Generating Multi-Categorical Samples with Generative Adversarial Networks\ — PyTorch implementation of multi-categorical GAN sampling paper
• GitHub - realpython/discover-flask: Full Stack Web Development with Flask — Video tutorial series for full-stack Python Flask web development
• GitHub - recommenders-team/recommenders: Best Practices on Recommendation Systems — Microsoft open-source repository of recommendation algorithm best practices
• GitHub - recommenders-team/recommenders: Best Practices on Recommendation Systems — Microsoft open-source repository of recommendation algorithm best practices
• GitHub - rfordatascience/tidytuesday: Official repo for the #tidytuesday project — Weekly social data project for practicing data science skills
• GitHub - sainathadapa/attention-primer-pytorch — PyTorch toy tasks demonstrating attention mechanisms from Vaswani et al.
• GitHub - suryasev/unofficial-google-trends-api: Python-based API that uses the http site to download Google Trends data — Python library scraping Google Trends data via CSV download and authentication
• GitHub - tensorflow/skflow: Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning — SkFlow simplified TensorFlow API mimicking scikit-learn, merged into TensorFlow contrib
• GitHub - tiimgreen/github-cheat-sheet: A list of cool features of Git and GitHub. — Comprehensive hidden and advanced Git and GitHub features reference
• GitHub Classroom — GitHub tool automating assignment distribution and grading for coding courses
• Google Ventures doubles down on dev tool startup Blacksmith just 4 months after its seed round | TechCrunch — Bare-metal CI/CD startup Blacksmith raises $10M Series A for GitHub Actions acceleration
• How We Use Claude Code Skills to Run 1,000+ ML Experiments a Day — Claude Code skills registry for team ML knowledge
• LLMs-local — awesome platforms, tools, and resources for running LLMs locally — Awesome list for running LLMs locally
• Meta Superintelligence Labs executives are pushing staff to ditch slow internal systems for faster engineering tools — Meta Superintelligence Labs abandons slow internal infra for Vercel and GitHub
• OpenSpec vs Spec Kit: Choosing the Right AI-Driven Development Workflow for Your Team — Head-to-head comparison of OpenSpec vs Spec Kit AI dev workflows
• PocketFlow: 100-line LLM framework — Minimalist 100-line graph-based LLM agent framework
• Publishing more than one site on GitHub Pages — GitHub Pages limitation on hosting multiple sites per account with custom domains
• PyTorch-GAN vanilla GAN implementation — Reference PyTorch implementation of vanilla GAN on MNIST
• Python_for_Data_Science/simple_ml.py at master · gumption/Python_for_Data_Science — Python utility library implementing decision tree ML from scratch
• Random Stuff that Matters — Stian Haklev — Practical R data wrangling tips and workflow best practices
• Spec-driven development: Using Markdown as a programming language when building with AI — Writing apps entirely in Markdown specs then AI-compiling to production code
• Stop Writing Code, Start Writing Docs — Best practices for agentic coding tools emphasizing documentation over single-shot prompting
• The developer role is evolving. Here's how to stay ahead. — Developer role shifting from manual coder to AI orchestrator and strategist
• The second wave of AI coding is here — Next-gen AI coding agents targeting functional correctness via process data
• This Cheat Sheet Makes Learning Your Way Around Linux Easy — Reference cheat sheet for common Linux terminal commands
• awesome-nanobanana-pro — curated Nano Banana Pro prompts and examples — Curated prompt list for Nano Banana Pro image model
• deeplearning.ai — DeepLearning.AI GitHub organization hosting course materials
• neural-networks-and-deep-learning/src/network.py at master · mnielsen/neural-networks-and-deep-learning — Michael Nielsen's minimal readable feedforward neural network with SGD and backpropagation in Python
• optimal-roadtrip-usa/popular-cities.html at gh-pages · rhiever/optimal-roadtrip-usa — Interactive map visualization of machine-learning-optimized US road trip route
• rtk: CLI proxy that reduces LLM token consumption by 60-90% on common dev commands — Rust CLI proxy compressing dev-command output for LLMs
• sunfish/sunfish.py at master · thomasahle/sunfish — Minimalist 500-line Python chess engine using MTD-bi search