kroobose

kroobose's Stars

• johnmyleswhite/BanditsBook

  Code for my book on Multi-Armed Bandit Algorithms

  Language:R893264

• aceberg/WatchYourLAN

  Lightweight network IP scanner. Can be used to notify about new hosts and monitor host online/offline history

  Language:Go3.8k118

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook7.6k1k

• DreamMr/PCL

  Pose-disentangled Contrastive Learning

  Language:Python135

• JiaRenChang/FaceCycle

  Learning Facial Representations from the Cycle-consistency of Face (ICCV 2021)

  Language:Python526

• ghmagazine/cfml_book

  Language:Jupyter Notebook196

• daikikatsuragawa/awesome-counterfactual-explanations

  This repository is a curated collection of information (keywords, papers, libraries, books, etc.) about counterfactual explanations🙃

  12

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.2k428

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5k770

• roboflow/sports

  computer vision and sports

  Language:Python2.3k236

• Yutong-Zhou-cv/FFHQ-Text_Dataset

  [FG 2021🎈] A small-scale face image dataset with large-scale facial attributes for text-to-face generation and manipulation.

  412

• py-why/EconML

  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.8k713

• st-tech/zr-obp

  Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

  Language:Python63687

• icoxfog417/baby-steps-of-rl-ja

  Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

  Language:Jupyter Notebook430260

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  66.6k9.1k

• RenMin1991/SIDE

  Specific Immunity Denoise Based Adversarial Defense for Face Recognition

  Language:Python4

• asheeshcric/awesome-contrastive-self-supervised-learning

  A comprehensive list of awesome contrastive self-supervised learning papers.

  1.2k128

• SakanaAI/DiscoPOP

  Code for Discovering Preference Optimization Algorithms with and for Large Language Models

  Language:Python16119

• hamadichihaoui/BIRD

  This is the official implementation of "Blind Image Restoration via Fast Diffusion Inversion"

  Language:Python23518

• lightly-ai/lightly

  A python library for self-supervised learning on images.

  Language:Python2.9k253

• openai/CLIP

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

  Language:Jupyter Notebook24.9k3.2k

• ChaofWang/Awesome-Super-Resolution

  Collect super-resolution related papers, data, repositories

  2.5k351

• nerfies/nerfies.github.io

  Language:JavaScript2.4k842

• cdt15/lingam

  Python package for causal discovery based on LiNGAM.

  Language:Python37056

• py-why/causal-learn

  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

  Language:Python1.1k186

• HirotakeIto/intro_to_impact_evaluation_with_python

  Language:Jupyter Notebook72

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.9k441

• emadeldeen24/TSLANet

  [ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks

  Language:Python10218

• rainy-xu/TALL4Deepfake

  Language:Python685

• rhfeiyang/PPOT

  Official implementation of 'P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering'. (Accepted by ICLR 2024)

  Language:Python92