pavisj

pavisj's Stars

• weaviate/semantic-search-through-wikipedia-with-weaviate

  Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine

  Language:Python24121

• typesense/typesense

  Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

  Language:C++20.7k641

• motiwari/BanditPAM

  BanditPAM C++ implementation and Python package

  Language:C++64738

• MenghaoGuo/Awesome-Vision-Attentions

  Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

  Language:Python2.7k410

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.4k3k

• NVIDIA/GTC-2021-A31202-Code

  71

• ProsusAI/finBERT

  Financial Sentiment Analysis with BERT

  Language:Jupyter Notebook1.4k413

• quic/sense

  Enhance your application with the ability to see and interact with humans using any RGB camera.

  Language:Python732106

• prince-mishra/the-constitution-of-india

  The Constitution of India, with each amendment as a commit.

  19817

• Tessellate-Imaging/Monk_Object_Detection

  A one-stop repository for low-code easily-installable object detection pipelines.

  Language:Jupyter Notebook630249

• louisfb01/Best_AI_paper_2020

  A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

  2.2k239

• jeffheaton/t81_558_deep_learning

  T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

  Language:Jupyter Notebook5.7k3k

• prajnasb/observations

  Language:Jupyter Notebook433491

• LappleApple/techevangelism101

  What to do before you hire a tech evangelist

  105

• dhyxy/MAFAExtractor

  Extract data from the MAFA Dataset into a Pandas DataFrame.

  Language:Python3

• ultralytics/yolov3

  YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  Language:Python10.2k3.4k

• idealo/imagededup

  😎 Finding duplicate images made easy!

  Language:Python5.1k457

• minimaxir/aitextgen

  A robust Python tool for text-based AI training and generation using GPT-2.

  Language:Python1.8k218

• SkalskiP/make-sense

  Free to use online tool for labelling photos. https://makesense.ai

  Language:TypeScript3.1k517

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook21.6k8.4k

• STVIR/pysot

  SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

  Language:Python4.4k1.1k

• cortexlabs/cortex

  Production infrastructure for machine learning at scale

  Language:Go8k606

• danthedeckie/finder_colors

  Set the color of files/folders for OSX Finder from the command line.

  Language:Python357

• DCGM/B-MOD

  Models from paper Kišš, Martin, Michal Hradiš, and Oldřich Kodym. “Brno Mobile OCR Dataset.” International Conference on Document Analysis and Recognition, 2019.

  Language:Python293

• PrashantRanjan09/Elmo-Tutorial

  A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

  Language:Jupyter Notebook15538

• malllabiisc/ConfGCN

  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning

  Language:Python5816

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34k7.8k

• NVIDIA/tensorrt-laboratory

  Explore the Capabilities of the TensorRT Platform

  Language:C++26150

• idealo/image-quality-assessment

  Convolutional Neural Networks to predict the aesthetic and technical quality of images.

  Language:Python2.1k447

• llSourcell/Learn-Natural-Language-Processing-Curriculum

  This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube

  1.1k299