fspinar's Stars
AykutSarac/jsoncrack.com
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.
khoj-ai/khoj
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
89luca89/distrobox
Use any linux distribution inside your terminal. Enable both backward and forward compatibility with software and freedom to use whatever distribution you’re more comfortable with. Mirror available at: https://gitlab.com/89luca89/distrobox
Codium-ai/cover-agent
QodoAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞
xgrommx/awesome-functional-programming
Yet another resource for collecting articles, videos etc. regarding functional programming
google-deepmind/gemma
Gemma open-weight LLM library, from Google DeepMind
altmany/export_fig
A MATLAB toolbox for exporting publication quality figures
brian-team/brian2
Brian is a free, open source simulator for spiking neural networks.
johnmyleswhite/BanditsBook
Code for my book on Multi-Armed Bandit Algorithms
RainCloudPlots/RainCloudPlots
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
piermorel/gramm
Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
AykutSarac/jsoncrack-vscode
VS Code extension of JSON Crack. Convert your JSON files into graphs with a single click and view them onto graphs.
Psychtoolbox-3/Psychtoolbox-3
Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU Octave functions for vision and neuroscience research.
LucasAlegre/morl-baselines
Multi-Objective Reinforcement Learning algorithms implementations.
hddm-devs/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
OHBA-analysis/HMM-MAR
Toolbox for segmentation and characterisation of transient connectivity
taldatech/soft-intro-vae-pytorch
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
emer/emergent
Biologically based neural network simulations of the brain written in Go with a 3D GUI powered by Cogent Core.
MBB-team/VBA-toolbox
The VBA toolbox
emer/leabra
Go implementation of Leabra algorithm for biologically-based models of cognition, based on emergent framework (with Python interface)
povilaskarvelis/DataViz
Data visualization tools for Matlab
Psychtoolbox-3/psychtoolbox-3.github.com
Source files for the website
mpc-ucl/emfit
gyyang/olfaction_evolution
cpilab/group-bayesian-model-comparison
A Python implementation of the VBA_groupBMC function from the VBA-toolbox by Lionel Rigoux.
Pehlevan-Group/icl-asymptotic
Code for experiments and figures for "Asymptotic theory of in-context learning by linear attention."
nhiratani/transfer_retention_model
eneserciyes/Metaworld
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
Neurotech-Hub/Info-Preference-Arduino
Arduino code for Monosov lab behavioral chamber