karyam

karyam's Stars

• tjunlp-lab/Awesome-LLMs-Evaluation-Papers

  The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.

  72447

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4.1k733

• Jiakui/awesome-gcn

  resources for graph convolutional networks （图卷积神经网络相关资源）

  880132

• tensorforce/tensorforce

  Tensorforce: a TensorFlow library for applied reinforcement learning

  Language:Python3.3k529

• 921kiyo/symbolic-rl

  Symbolic Reinforcement Learning using Inductive Logic Programming

  Language:Lasso6110

• uestc-db/DQN_Word_Problem_Solver

  Language:Python3722

• rafat/wavelib

  C Implementation of 1D and 2D Wavelet Transforms (DWT,SWT and MODWT) along with 1D Wavelet packet Transform and 1D Continuous Wavelet Transform.

  Language:C390122

• JoyRabha/Feature-Extraction-EEG

  Feature Extraction of Mental Load EEG signals

  Language:Jupyter Notebook5415

• Hvass-Labs/TensorFlow-Tutorials

  TensorFlow Tutorials with YouTube Videos

  Language:Jupyter Notebook9.3k4.2k

• Sentdex/BCI

  Brain-Computer interface stuff

  Language:Python30173

• pbashivan/EEGLearn

  A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

  Language:Python719221

• brightmart/text_classification

  all kinds of text classification models and more with deep learning

  Language:Python7.9k2.6k

• dongjun-Lee/text-classification-models-tf

  Tensorflow implementations of Text Classification Models.

  Language:Python505164

• jtoy/awesome-tensorflow

  TensorFlow - A curated list of dedicated resources http://tensorflow.org

  17.2k3k

• TNTLFreiburg/braindecode

  Outdated, see new https://github.com/braindecode/braindecode

  Language:Python324155

• KordingLab/Neural_Decoding

  A python package that includes many methods for decoding neural activity

  Language:Jupyter Notebook436121

• CYHSM/awesome-neuro-ai-papers

  Papers from the intersection of deep learning and neuroscience

  39341

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python66.5k14.7k

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  308k77.2k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.5k8.1k

• eriklindernoren/ML-From-Scratch

  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 learning.

  Language:Python24.1k4.6k

• jvanvugt/pytorch-unet

  Tunable U-Net implementation in PyTorch

  Language:Python32994

• LeeJunHyun/Image_Segmentation

  Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

  Language:Python2.8k603

• StevieG47/CNN-from-scratch

  A convolutional neural network from scratch

  Language:Python52

• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.6k2.5k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.3k45.7k

• PingjunChen/pyslide

  Digital Pathology Whole Slide Image Analysis Toolbox

  Language:Python488

• PacktPublishing/Bioinformatics-with-Python-Cookbook-Second-Edition

  Bioinformatics with Python Cookbook Second Edition, published by Packt

  Language:OpenEdge ABL307193

• karyam/awesome-courses

  :books: List of awesome university courses for learning Computer Science!

  1

• ZuzooVn/machine-learning-for-software-engineers

  A complete daily plan for studying to become a machine learning engineer.

  28.2k6.2k