#
SynapticSage
Follow
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
134
stars
written in Jupyter Notebook
Clear filter
🦜🔗 Build context-aware reasoning applications
A latent text-to-image diffusion model
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Google Research
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 ;)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A guidance language for controlling large language models.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Code samples used on cloud.google.com
Sweep: open-source AI-powered Software Developer for small features and bug fixes.
Playing Pokemon Red with Reinforcement Learning
CoreNet: A library for training deep neural networks
Overview and tutorial of the LangChain Library
Flax is a neural network library for JAX that is designed for flexibility.
A collection of infrastructure and tools for research in neural network interpretability.
