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Starred repositories
Code for “A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making.” (ICML 2025)
lucidrains / openevolve
Forked from codelion/openevolveOpen-source implementation of AlphaEvolve
Models and simulations for state space composition
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)
A comprehensive guide for Linux Network (Socket) programming
A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning
A curated list of awesome neuroscience libraries, software and any content related to the domain.
Introduction to Machine Learning Systems
Repository for few-shot learning machine learning projects
A minimal GPU design in Verilog to learn how GPUs work from the ground up
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
A distraction-free and highly customizable theme for Obsidian.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
JAX - A curated list of resources https://github.com/google/jax
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…
JAX implementation of "Gradients without Backpropagation" paper
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
JAX implementation of MAML on the analog spiking neural network accelerator for the edge adaptation
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning