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Comparative Macrology
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Haskell doesn't have macros
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Rethinking how we interview in Microsoft’s Developer Division
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Daniel Beskin - Category Theory as a Tool for Thought - Lambda Days 2020
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How to Use Bash Programmable Completion
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Eric Jang: Don't Mess with Backprop: Doubts about Biologically Plausible Deep Learning
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cube composer
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For the Love of Macros
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Notebook
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Functional Geometry
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My New Band Is: Slate Star Clusterfuck
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How to Craft the Perfect Daily Schedule (According to Science)
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Category theory
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Encapsulating Capsule Networks: Everything You Need To Know
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Capsule neural network
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Are capsules a good idea? A generative perspective
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A Brief Summary of Leo — Leo 6.3 documentation
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PyTorch from a Flux ML Perspective
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We first need to understand how the brain works if we want true AI
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State-of-the-Art Image Generative Models
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Scientific Machine Learning with Julia: the SciML ecosystem | by Federico Carrone | This is not a Monad tutorial
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Modeling complexity with Symbolics.jl and ModelingToolkit.jl | by Federico Carrone | Mar, 2021 | This is not a Monad tutorial
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Learning Latent Permutations with Gumbel-Sinkhorn Networks – arXiv Vanity
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Understanding the Working of Universal Language Model Fine Tuning (ULMFiT) – Let the Machines Learn
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DeepSpeed ZeRO-3 Offload - DeepSpeed
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Language as a Cognitive Tool: Dall-E, Humans and Vygotskian RL Agents – Developmental Systems, a Blog of the Flowers Lab
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Game semantics
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Alignment of Language Agents. By Zachary Kenton, Tom Everitt, Laura… | by DeepMind Safety Research | Mar, 2021 | Medium
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Notes on the Origin of Implicit Regularization in SGD
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Scaling down Deep Learning
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Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs | Pavel's Blog
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Category Theory Illustrated - Sets
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Five Memorable Books About Programming
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Yang Song | Sliced Score Matching: A Scalable Approach to Density and Score Estimation
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Yang Song | Generative Modeling by Estimating Gradients of the Data Distribution
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Understanding VQ-VAE (DALL-E Explained Pt. 1) - ML@B Blog
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When Curation Becomes Creation – Approximately Correct
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https://essays.georgestrakhov.com/elvish/
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Automatic Differentiation Step by Step | by Mark Saroufim | Medium
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Fabian Fuchs
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AlphaGo Zero: Minimal Policy Improvement, Expectation Propagation and other Connections
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How DeepMind's Generally Capable Agents Were Trained - LessWrong
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Jakub Tomczak
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Natural Gradient Descent - Agustinus Kristiadi's Blog
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E.W. Dijkstra Archive: The Three Golden Rules for Successful Scientific Research (EWD 637)
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Statistics as algorithmic summarization – arg min blog
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From VAEs to Diffusion Models | Angus Turner
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Beautiful Racket: Make a language in one hour: stacker
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Towards self-organized control
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Beautiful Racket: Make a language in one hour: stacker
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