-
OpenAI
- San Francisco, California
- tomdlt.github.io/
- @tomdlt10
Stars
Lightweight coding agent that runs in your terminal
Easily run Python at the shell! Magical, but never mysterious.
Capture every activation and gradient of any PyTorch model — forward and backward — with automatic graph visualization, rich metadata, and live interventions. Works on any architecture, including d…
You like pytorch? You like micrograd? You love tinygrad! ❤️
Named tensors with first-class dimensions for PyTorch
A tiny library for coding with large language models.
todo.txt manager for Linux, Windows and MacOS, free and open-source (FOSS)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Fast and modular sklearn replacement for generalized linear models
Material for a 24 hours course on Scientific Python
Voxelwise Encoding Model tutorials from the Gallant lab.
Machine learning in Python with scikit-learn MOOC
Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
A framework for reproducible, comparable benchmarks
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 lear…
A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python
Words of the same length with related meanings.
Latex code for making neural networks diagrams
Pycortex is a python-based toolkit for surface visualization of fMRI data
Experiments for "Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals"
Convolution dictionary learning for time-series
scikit-learn: machine learning in Python
Optimised tools for group-indexing operations: aggregated sum and more
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