Vasuji

Vasuji's Stars

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.2k1.1k56312.9k

• github/copilot-docs

  Documentation for GitHub Copilot

  23.2k40802.4k

• stitionai/devika

  Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

  Language:Python18.4k2033882.4k

• jupyter/docker-stacks

  Ready-to-run Docker images containing Jupyter applications

  Language:Python8k1888963k

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.6k12730490

• PetarV-/GAT

  Graph Attention Networks (https://arxiv.org/abs/1710.10903)

  Language:Python3.2k4576643

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python2.9k621k431

• ahmedfgad/GeneticAlgorithmPython

  Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

  Language:Python1.9k29159462

• BindsNET/bindsnet

  Simulation of spiking neural networks (SNNs) using PyTorch.

  Language:Python1.5k43237331

• seongjunyun/Graph_Transformer_Networks

  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

  Language:Jupyter Notebook9611243179

• dair-ai/MLOPs-Primer

  A collection of resources to learn about MLOPs.

  92721052

• taichengguo/LLM_MultiAgents_Survey_Papers

  Large Language Model based Multi-Agents: A Survey of Progress and Challenges

  57513434

• vanderschaarlab/synthcity

  A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

  Language:Python4391213757

• mikeroyal/Neuromorphic-Computing-Guide

  Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

  Language:Python34218147

• gita/bhagavad-gita-api

  Bhagavad Gita API is an open-source API that lets anyone use the text from Srimad Bhagavad Gita in their own web or mobile application(s).

  Language:Python18282734

• briancodex/react-website-v2

  18145264

• dmis-lab/BERN2

  BERN2: an advanced neural biomedical namedentity recognition and normalization tool

  Language:Python17295940

• jyotisham/jyotisha

  Python tools for the astronomical / astrological vedAnga of Hindus

  Language:TeX881914753

• diogomatoschaves/geneal

  A genetic algorithm implementation in python

  Language:Python6321610

• briancodex/react-api-project-v1

  Cryptocurrency price tracker app made with React

  Language:JavaScript613361

• qiskit-community/quantum-prototype-template

  A template repository for generating new quantum prototypes based on Qiskit

  Language:Python4161721

• avinashvarna/sanskrit_tts

  Sanskrit text to speech

  Language:Python24536

• dwavesystems/dwave-scikit-learn-plugin

  A plugin to scikit-learn for quantum-classical hybrid solving

  Language:Python149712

• locus-ioe/Quantum-Computing-2021

  This repository contains the notebooks, slides, and miscellaneous for Quantum Computing 2021

  Language:Jupyter Notebook120010

• ambf0632/CompoundDB4j

  Language:Python113012

• CaseOLAP/caseolap

  CaseOLAP: A cloud computing platform for phrase mining. This consists of downloading, parsing, and indexing of data, text-cube creation, entity count with search functionality, and caseOLAP score calculation.

  Language:Python7303

• pinglab-intern/mesh2molecules

  :rocket: Exploration of Molecular Mechanism following MeSH Descriptors by JASON (Wangjie Zheng), (Summer and Fall 2020) :mortar_board:

  Language:Jupyter Notebook5301

• zeionara/OpenKE

  An Open-Source Package for Knowledge Embedding (KE)

  Language:Python2100

• hetaShah27/Aggregated-Analysis-of-ClinicalTrials.gov

  Aggregated Analysis of ClinicalTrials.gov (AACT) publicly available database is imported into a PostgreSQL database for Cancer Research Analysis. This database contains more than 40 relations, each having millions of records. Complex pSQL queries are used to communicate with the PostgreSQL database using pgAdmin 4. Answers related to cancer trials, related adverse events and outcomes, result of intervention study, etc. are answered. The analyses is concluded by visualizing the key points using Tableau.

  1100

• pyncx/neo4j_practice

  1201