austinchencym

austinchencym's Stars

• OSU-MLB/PETL_Vision

  Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition

  Language:Jupyter Notebook24

• RaptorMai/CompBench

  CompBench evaluates the comparative reasoning of multimodal large language models (MLLMs) with 40K image pairs and questions across 8 dimensions of relative comparison: visual attribute, existence, state, emotion, temporality, spatiality, quantity, and quality. CompBench covers diverse visual domains, including animals, fashion, sports, and scenes.

  Language:Jupyter Notebook311

• franco05hk/Meriskill

  Language:Jupyter Notebook1

• bitterengsci/algorithm

  九章算法 v4.2+hackerrank+leetcode+my notes+interview questions

  Language:Python11351

• shenweichen/Coursera

  Quiz & Assignment of Coursera

  Language:Jupyter Notebook871659

• xiangyiwen22/Recommender-Systems-Specialization

  Language:Jupyter Notebook2

• RaptorMai/online-continual-learning

  A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).

  Language:Python37557

• RaptorMai/CVPR20_CLVision_challenge

  1'st Place approach for CVPR 2020 Continual Learning Challenge

  Language:Python464

• wcipriano/pretty-print-confusion-matrix

  Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

  Language:Python529152

• RaptorMai/pgmpy-tutorial

  A pgmpy tutorial focus on Bayesian Model

  Language:Jupyter Notebook35

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.4k3.7k

• iamtodor/data-science-interview-questions-and-answers

  Data science interview questions with answers. Not ideally (yet)

  1.6k353

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python194k45.6k

• python-visualization/folium

  Python Data. Leaflet.js Maps.

  Language:Python6.9k2.2k

• danilkolikov/fsfc

  Feature Selection for Clustering

  Language:Python9328

• hongleizhang/RSPapers

  RSTutorials: A Curated List of Must-read Papers on Recommender System.

  6.2k1.3k

• ipython-contrib/jupyter_contrib_nbextensions

  A collection of various notebook extensions for Jupyter

  Language:JavaScript5.2k806

• datasciencescoop/Data-Science--Cheat-Sheet

  Cheat Sheets

  Language:TeX18.3k

• lazyprogrammer/machine_learning_examples

  A collection of machine learning examples and tutorials.

  Language:Python8.4k6.3k

• Akxay/recommendation_engine

  Language:Jupyter Notebook235

• RaptorMai/Deep-AutoEncoder-Recommendation

  Keras implementation of AutoRec and DeepRecommender from Nvidia.

  Language:Jupyter Notebook6121

• WillKoehrsen/feature-selector

  Feature selector is a tool for dimensionality reduction of machine learning datasets

  Language:Jupyter Notebook2.2k769

• rdcolema/keras-image-classification

  Using Kaggle cats vs dogs dataset

  Language:Jupyter Notebook9861