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Artificial intelligence: machine learning, neural networks, large language models, deep learning, AI research, and AI tools.

  1. Deep Implicit Layers - Neural ODEs, Deep Equilibirum Models, and Beyond | NeurIPS 2020 slideslive.com

    Tutorial created by Zico Kolter, David Duvenaud, and Matt Johnson with Colab notebooks avaliable in Deep Implicit Layers.

  2. JAX: Accelerated machine-learning research via composable function transformations in Python | NeurIPS 2019 | Skye… slideslive.com

    JAX intro presentation in Program Transformations for Machine Learning workshop.

  3. From PyTorch to JAX: towards neural net frameworks that purify stateful code by Sabrina J. Mielke sjmielke.com

    Showcases how to go from a PyTorch-like style of coding to a more Functional-style of coding.

  4. Evolving Neural Networks in JAX by Robert Tjarko Lange roberttlange.github.io

    Explores how JAX can power the next generation of scalable neuroevolution algorithms.

  5. Getting started with JAX (MLPs, CNNs & RNNs) by Robert Lange roberttlange.github.io

    Neural network building blocks from scratch with the basic JAX operators.

  6. Elegy poets-ai.github.io

    A High Level API for Deep Learning in JAX. Supports Flax, Haiku, and Optax.

  7. Compiling machine learning programs via high-level tracing. Roy Frostig, Matthew James Johnson, Chris Leary. MLSys 2018. mlsys.org

    White paper describing an early version of JAX, detailing how computation is traced and compiled.

  8. Jax in Action manning.com

    A hands-on guide to using JAX for deep learning and other mathematically-intensive applications.

  9. Learn JAX: From Linear Regression to Neural Networks by Rito Ghosh kaggle.com

    A gentle introduction to JAX and using it to implement Linear and Logistic Regression, and Neural Network models and using them to solve real world problems.

  10. JAX, Flax & Transformers 🤗 github.com

    3 days of talks around JAX / Flax, Transformers, large-scale language modeling and other great topics.

  11. Reformer github.com

    Implementation of the Reformer (efficient transformer) architecture.

  12. VDVAE github.com

    Adaptation of Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images, original code at openai/vdvae.

  13. Performer github.com

    Flax implementation of the Performer (linear transformer via FAVOR+) architecture.

  14. MUSIQ github.com

    Checkpoints and model inference code for the ICCV 2021 paper MUSIQ: Multi-scale Image Quality Transformer

  15. IPA-GNN github.com

    Official implementation of Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks.

  16. Dreamfields github.com

    Official implementation of the ICLR 2022 paper Progressive Distillation for Fast Sampling of Diffusion Models.

  17. D3PM github.com

    Official implementation of Structured Denoising Diffusion Models in Discrete State-Spaces.

  18. Combiner github.com

    Official implementation of Combiner: Full Attention Transformer with Sparse Computation Cost.

  19. BNN-HMC github.com

    Implementation for the paper What Are Bayesian Neural Network Posteriors Really Like?.

  20. ARDM github.com

    Official implementation of Autoregressive Diffusion Models.

  21. Accurate Quantized Training github.com

    Tools and libraries for running and analyzing neural network quantization experiments in JAX and Flax.

  22. Gated Linear Networks github.com

    GLNs are a family of backpropagation-free neural networks.

  23. Sampling Path Candidates with Machine Learning differt.eertmans.be

    Official tutorial and implementation from the paper Towards Generative Ray Path Sampling for Faster Point-to-Point Ray Tracing.

  24. JAX, M.D.: A Framework for Differentiable Physics. Samuel S. Schoenholz, Ekin D. Cubuk. NeurIPS 2020. arxiv.org

    Introduces JAX, M.D., a differentiable physics library which includes simulation environments, interaction potentials, neural networks, and more.

  25. WalletLens walletlens.live

    Multi-asset portfolio tracker with AI insights, technical analysis, live prices, and local-first data storage.

  26. ValueRay valueray.com

    Technical, quantitative and sentiment data for stocks and ETFs with risk metrics, peer percentiles and market regime signals. Optimized for AI/LLM agents.

  27. MACD + RSI + ADX Strategy (ChatGPT-powered) by TradeSmart tradingview.com

    Asked ChatGPT on which indicators are the most popular for trading. We used all of the recommendations given.

  28. Nof1 thenof1.com

    Benchmark designed to measure AI's investing abilities. Each model is given $10,000 of real money, in real markets, with identical prompts and input data.

  29. StockAInsights stockainsights.com

    Institutional-grade financial statements API with AI extraction from SEC filings — not XBRL. Covers domestic and foreign filers (20-F, 6-K, 40-F), normalized quarterly and annual data.

  30. Sharpe sharpe.ai

    Agent-ready crypto market intelligence API and MCP server for funding, derivatives, arbitrage, narratives, listings, and news.

  31. QuantLink quantlink.ai

    AI-powered US-equity research terminal with deep-research agents grounded in SEC filings, a fundamental and technical stock screener with backtesting, institutional 13F holder analysis, insider (Form 4) activity, and congressional trade tracking from STOCK Act disclosures. Free…

  32. PolyMind polyminds.netlify.app

    Real-time Polymarket trading alerts with multi-AI analysis (Groq, Claude, Gemini). Track whale bets, volume spikes, coordinated wallets, and 12 signal types. Free tier available.

  33. Pineify pineify.app

    AI-assisted trading toolkit with coding agents for Pine Script, MQL5, and cTrader, plus financial research, strategy optimization, and backtest analysis.

  34. Financial Statement Analysis with Large Language Models papers.ssrn.com

    GPT-4 can outperform professional financial analysts in predicting future earnings changes, generating useful narrative insights, and resulting in superior trading strategies with higher Sharpe ratios and alphas, thereby suggesting a potential central role for LLMs in financial…

  35. Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy, 2020 papers.ssrn.com

    Propose an ensemble strategy that employs deep reinforcement schemes to learn a stock trading strategy by maximizing investment return.

  36. Ten Financial Applications of Machine Learning, 2018 papers.ssrn.com

    Slides review few important financial ML applications.

  37. NeuPortal neuportal.ai

    AI forecasting-accountability lab: every forecast is locked pre-event, Bitcoin-timestamped (OpenTimestamps), and Brier-scored against prediction markets in public.

  38. ML-Quant ml-quant.com

    Quant resources from ArXiv (sanity), SSRN, RePec, Journals, Podcasts, Videos, and Blogs.

  39. MeterCall metercall.ai

    One metered API gateway. 21M+ endpoints (payments, SMS, AI, CRMs, gov data). Free tier; pay per call.

  40. MarginSafe.ai marginsafe.ai

    AI stock analysis platform specialized in intrinsic value and Wyckoff timing.

  41. Investing for Programmers manning.com

    A book about maximizing your portfolio, analyzing markets, and making data-driven investment decisions using Python and generative AI

  42. Financial AI in Practice manning.com

    A book about creating profitable, regulation-compliant financial applications.

  43. Build Financial Software with Generative AI manning.com

    Book about how to build financial software hands-on using generative AI tools like ChatGPT and Copilot.

  44. LendTrain lendtrain.com

    AI-native mortgage refinance plugin for Claude Code with real-time institutional pricing, state-specific closing costs, FHA Streamline/VA IRRRL detection, and regulatory compliance. Uses MCP (Model Context Protocol) to connect LLMs to live mortgage pricing.

  45. KeepRule keeprule.com

    AI-powered investment discipline platform with principles from 26 legendary investors including Buffett, Munger, and Dalio.

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