jihoonkim2100

jihoonkim2100's Stars

• neuromatch/NeuroAI_Course

  Language:Jupyter Notebook3323

• ultralytics/ultralytics

  NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

  Language:Python25.7k5.1k

• athms/many-item-choice

  Uncovering the computational mechanisms underlying many-alternative choice

  Language:Jupyter Notebook73

• qihongl/pylca

  A python implementation of the leaky, competing, accumulator (Usher, & McClelland, 2001).

  Language:Jupyter Notebook31

• moltaire/gda-context

  Gaze-dependent evidence accumulation predicts multi-alternative risky choice behaviour

  Language:Jupyter Notebook5

• Toblerity/Fiona

  Fiona reads and writes geographic data files

  Language:Python1.1k201

• OvertureMaps/data

  Overture Maps Data

  Language:Python89534

• estenhl/pyment-public

  Language:Jupyter Notebook2713

• jerry-git/learn-python3

  Jupyter notebooks for teaching/learning Python 3

  Language:HTML6.3k1.7k

• woltapp/data-science-internship-2024

  The pre-assignment for data science internship applicants

  164

• SeldonIO/seldon-core

  An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

  Language:HTML4.3k824

• woltapp/engineering-internship-2024

  The pre-assignment for frontend / backend internship applicants

  4920

• xxxnell/how-do-vits-work

  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

  Language:Python79877

• enyac-group/evol-q

  Quantization in the Jagged Loss Landscape of Vision Transformers

  Language:Python112

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.7k388

• JaeDukSeo/Daily-Neural-Network-Practice-3

  Daily Neural Network Practice Season 3! ( Finishing up Masters)

  Language:Jupyter Notebook910

• ThomasYeoLab/CBIG

  Language:MATLAB566380

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python10.1k981

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook23.4k3.1k

• svsool/memo

  Markdown knowledge base with bidirectional [[link]]s built on top of VSCode

  Language:TypeScript81446

• coder/code-server

  VS Code in the browser

  Language:TypeScript66.4k5.4k

• PBarnaghi/ML4NS

  Machine Learning for Neuroscience Module, Spring 2023 (https://www.imperial.ac.uk/study/courses/postgraduate-taught/translational-neuroscience/)

  Language:Jupyter Notebook251

• PacktPublishing/Interpretable-Machine-Learning-with-Python

  Interpretable Machine Learning with Python, published by Packt

  Language:Jupyter Notebook429184

• timzhang642/3D-Machine-Learning

  A resource repository for 3D machine learning

  9.5k1.8k

• npnl/isles_2022

  Example usage of BIDSIO for input + output for use with the ISLES 2022 Challenge

  Language:Jupyter Notebook112

• jacobgil/vit-explain

  Explainability for Vision Transformers

  Language:Python77191

• conda-forge/miniforge

  A conda-forge distribution.

  Language:Shell5.7k303

• HaohanWang/CF

  Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications

  Language:Python158

• jphall663/awesome-machine-learning-interpretability

  A curated list of awesome responsible machine learning resources.

  3.5k579

• deeppsych/Replicability-ukbb

  Replicability of brain-phenotype associations

  Language:Jupyter Notebook21