AliKhajegiliM

AliKhajegiliM's Stars

• jkefeli/tcga-path-reports

  TCGA Pathology Reports in Machine Readable Text

  Language:Python61

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.2k299

• rasbt/LLMs-from-scratch

  Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook29.8k3.5k

• michaelfeil/infinity

  Infinity is a high-throughput, low-latency REST API for serving text-embeddings, reranking models and clip

  Language:Python1.4k106

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python15.1k2.5k

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  18.4k1.5k

• VisionLearningGroup/Benchmark_Domain_Transfer

  Language:Python182

• VisionLearningGroup/CDS

  CDS: Cross-Domain Self-supervised Pre-training

  Language:Python264

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.7k1.5k

• visual-layer/fastdup

  fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

  Language:Python1.6k77

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.1k3.1k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.2k5.6k

• microsoft/BioGPT

  Language:Python4.3k453

• lightly-ai/lightly

  A python library for self-supervised learning on images.

  Language:Python3.1k277

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML10.9k11.1k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22k2.9k

• PyCQA/isort

  A Python utility / library to sort imports.

  Language:Python6.5k578

• rdangovs/essl

  Language:Python442

• synercys/annotated_latex_equations

  Examples of how to create colorful, annotated equations in Latex using Tikz.

  Language:TeX3.8k218

• neonwatty/machine_learning_refined

  Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

  Language:Python1.7k607

• mmistakes/minimal-mistakes

  :triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

  Language:HTML12.3k25.5k

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12.2k43.2k

• amitness/learning

  A log of things I'm learning

  6.3k849

• tcbutler320/Jekyll-Theme-Dumbarton

  Dumbarton is a Jekyll Theme developed by Tyler Butler. The theme is designed for academics and features a simple home page with an about me section, a blog, and an interactive highlights section to describe publications, coursework, courses taught, and projects. UI design with Bootstrap and Animate CSS. Dumbarton is not compatible with Github Pages at this time.

  Language:HTML6961

• j-min/Dropouts

  PyTorch Implementations of Dropout Variants

  Language:Jupyter Notebook8717

• mdenil/dropout

  A theano implementation of Hinton's dropout.

  Language:Python14458

• voxelmorph/voxelmorph

  Unsupervised Learning for Image Registration

  Language:Python2.3k581

• AlgorithmHub/example_sr

  Super Resolution example

  Language:Matlab91

• huangzehao/SCN_Matlab

  Matlab reimplementation of SCNSR

  Language:OpenEdge ABL7653

• taynoel/Multi-Frame-Super-Resolution

  Non-sequential multi-frame super-resolution image generation

  Language:Python93