waleedreafee

waleedreafee's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python88.7k1.8k50k23.8k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python59.8k4721366k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.7k4663.4k7k

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.4k140490955

• apache/zeppelin

  Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

  Language:Java6.5k30502.8k

• danielgross/whatsapp-gpt

  Language:Go3.1k8971600

• jakobrunge/tigramite

  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

  Language:Jupyter Notebook1.4k40203288

• ModelOriented/DALEX

  moDel Agnostic Language for Exploration and eXplanation

  Language:Python1.4k49408168

• G-U-N/PyCIL

  PyCIL: A Python Toolbox for Class-Incremental Learning

  Language:Python908986143

• Leavingseason/xDeepFM

  Language:Python7442619219

• ModelOriented/DrWhy

  DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

  Language:R68934985

• cure-lab/Awesome-time-series

  A comprehensive survey on the time series domains

  52321450

• GT-RIPL/Continual-Learning-Benchmark

  Evaluate three types of task shifting with popular continual learning algorithms.

  Language:Python518141189

• PacktPublishing/Hands-On-Machine-Learning-with-CPP

  Hands-On Machine Learning with C++, published by Packt

  Language:C++478169132

• enoche/MMRec

  A Toolbox for MultiModal Recommendation. Integrating 10+ Models...

  Language:Python44323964

• Leavingseason/OpenLearning4DeepRecsys

  Some deep learning based recsys for open learning.

  Language:Python3982119150

• enoche/MultimodalRecSys

  A curated list of awesome resources about multimodal recommender systems.

  3518324

• GMvandeVen/brain-inspired-replay

  A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).

  Language:Python23471265

• enoche/BM3

  Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23

  Language:Python5611112

• explainablerecsys/recsys2022

  RecSys 2022 Tutorial Hands on Explainable Recommender Systems with Knowledge Graphs

  Language:Python50204

• IntelLabs/continuallearning

  Language:Python261117

• ZixuanKe/CAT

  Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

  Language:Python21134

• salesforce/RGRecSys

  Language:Python18315

• luizgh/knn

  C++ implementation of K-nearest neighbours

  Language:C++17419

• tmdt-buw/continual-learning-mas-cloning-injection-molding

  Code to reproduce the results from the paper "Continual Learning of Neural Networks for Quality Prediction in Production using Memory Aware Synapses and Weight Transfer" by Tercan et al., submitted to the Journal of Intelligent Manufacturing

  Language:Python14406

• KamilDeja/multiband_vae

  Language:Python10313

• mddragnev/k-nearest-neighbors

  C++ implementation for machine learning algorithm K-NN

  Language:C++8202

• tyler-hayes/Continual-Analogical-Reasoning

  PyTorch code for our CVPRW-2021 paper "Selective Replay Enhances Learning in Online Continual Analogical Reasoning"

  Language:Python6102

• GMvandeVen/complex-synapses

  Deep learning implementation of the Benna-Fusi complex synapse model.

  Language:Python4104

• agongt408/vbranch

  vbranch is a deep-learning framework to improve the accuracy and efficiency of neural networks by sharing parameters between multiple branches.

  Language:Jupyter Notebook3201