ArchitParnami

ArchitParnami's Stars

• ytdl-org/youtube-dl

  Command-line program to download videos from YouTube.com and other video sites

  Language:Python131k2.2k26.6k10k

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.7k1.4k2457.9k

• poloclub/cnn-explainer

  Learning Convolutional Neural Networks with Interactive Visualization.

  Language:JavaScript8k165471.2k

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.1k12928293

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.7k13246562

• cszn/KAIR

  Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

  Language:Python2.9k47162619

• learnables/learn2learn

  A PyTorch Library for Meta-learning Research

  Language:Python2.6k32259350

• wenbihan/reproducible-image-denoising-state-of-the-art

  Collection of popular and reproducible image denoising works.

  2.4k11710509

• tristandeleu/pytorch-meta

  A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

  Language:Python2k44141256

• brektrou/rtl8821CU

  Realtek RTL8811CU/RTL8821CU USB Wi-Fi adapter driver for Linux

  Language:C1.6k44174461

• photosynthesis-team/piq

  Measures and metrics for image2image tasks. PyTorch.

  Language:Python1.4k14222115

• google-deepmind/neural-processes

  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

  Language:Jupyter Notebook975429146

• JackieTseng/conference_call_for_paper

  2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

  Language:HTML8625930128

• z-bingo/awesome-image-denoising-state-of-the-art

  awesome image and video denoising, state of the art networks

  598304110

• YingfanWang/PaCMAP

  PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure

  Language:Jupyter Notebook507116352

• andrewdcampbell/OpenCV-Document-Scanner

  An interactive document scanner built in Python using OpenCV featuring automatic corner detection, image sharpening, and color thresholding.

  Language:Python4791214144

• antoinecarme/pyaf

  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

  Language:Python4591919472

• clovaai/cord

  CORD: A Consolidated Receipt Dataset for Post-OCR Parsing

  389191037

• yaoyao-liu/few-shot-classification-leaderboard

  Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

  Language:HTML38215774

• oneHuster/Meta-Learning-Papers

  A classified list of meta learning papers based on realm.

  34616143

• philschmid/document-ai-transformers

  Language:Jupyter Notebook31451145

• EdenBelouadah/class-incremental-learning

  Language:Python1737828

• unknownue/PyTorch.docs

  Offline documentation built from official PyTorch release

  Language:HTML1472616

• khurramjaved96/incremental-learning

  Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

  Language:Python1068724

• nsadawi/Download-Large-File-From-Google-Drive-Using-Python

  Language:Jupyter Notebook1007244

• ijmbarr/image-processing-with-numpy

  Image processing with numpy

  Language:Jupyter Notebook754025

• ksm26/Finetuning-Large-Language-Models

  Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.

  Language:Jupyter Notebook391026

• AntreasAntoniou/FewShotContinualLearning

  The original code for the paper "Benchmarks for Continual Few-Shot Learning".

  Language:Python34615

• yjn870/DnCNN-pytorch

  PyTorch implementation of Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP 2017)

  Language:Python26206

• itskalvik/machine-learning-taxonomy

  A taxonomy/mapping study of machine learning problems and algorithms I have come across

  Language:HTML210