#
SynapticSage
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Lists (32)
ai-ml-applied_math
130 repositories
awesome lists
Collections I draw inspiration from22 repositories
Bio/Ai
9 repositories
Clean code
6 repositories
compile-time-and-code-time
Tools for the compile and coding phase of dev4 repositories
CompSci
2 repositories
Datasets
3 repositories
Debug + Github Issues
4 repositories
Finance
13 repositories
job-search
10 repositories
julia
Awesome Julia-based libraries122 repositories
language-ref
13 repositories
LMM / LLM
Various libraries related to large multi-modal models and large laguage models139 repositories
Mem
24 repositories
ML
Machine Learning75 repositories
modeling
6 repositories
Mojo
A new Python-derived programming language with MLIR-based accelerations.3 repositories
multi-linear and linear-algebra
Libraries that focus on manipulating tensors (multi-linear algebra) and matrices (linear algebra)15 repositories
multi-thread + multi-process
3 repositories
Neuromorphic chips
1 repository
neuroscience
107 repositories
OS
OS related tools (MacOS mostly)4 repositories
Productionize
For productionizing models (more to come; haven't added many yet)3 repositories
remarkable
tools for remarkable tablet14 repositories
Replicability
4 repositories
Robotics
Libraries for controlling, simulating, interfacing robotics projects43 repositories
run-time-experience
3 repositories
stats-and-bayes
52 repositories
storage/datastructures
5 repositories
vim + tmux + emacs + terminal
text-based applications and shell scripting Used to be just vim/tmux, but merged with emacs and terminal lists. (Github only allows 32 lists ☹️)118 repositories
visualization
libraries that focus on visualization, in all its forms82 repositories
white-hat
white hat hacking/exploitation libraries10 repositories
Starred repositories
9
results
for sponsorable starred repositories
written in Jupyter Notebook
Clear filter
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Interactive Web Plotting with Bokeh in IPython notebook
A short course on Julia and open-source software development
pitmonticone / llm-course
Forked from mlabonne/llm-courseCourse to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
