vidyasrimani

vidyasrimani's Stars

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  307k8.8k48277k

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python278k6.6k30746.6k

• bitcoin/bitcoin

  Bitcoin Core integration/staging tree

  Language:C++80k4k8.3k36.5k

• ZuzooVn/machine-learning-for-software-engineers

  A complete daily plan for studying to become a machine learning engineer.

  28.2k1.5k256.2k

• deepset-ai/haystack

  AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  Language:Python17.9k1443.6k1.9k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.6k407782.3k

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.8k594304k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.5k2191574.1k

• microsoft/recommenders

  Best Practices on Recommendation Systems

  Language:Python16.2k2617862.8k

• ujjwalkarn/Machine-Learning-Tutorials

  machine learning and deep learning tutorials, articles and other resources

  15.6k798123.8k

• zziz/pwc

  This repository is no longer maintained.

  15.4k1.2k242.5k

• ludwig-ai/ludwig

  Low-code framework for building custom LLMs, neural networks, and other AI models

  Language:Python11.2k1941.1k1.2k

• wiseodd/generative-models

  Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

  Language:Python7.3k297662k

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.3k146451735

• heartexlabs/awesome-data-labeling

  A curated list of awesome data labeling tools

  3.1k9821382

• hanzhanggit/StackGAN

  Language:Python1.9k6967457

• alirezadir/machine-learning-interview-enlightener

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook1.7k482348

• tirthajyoti/Stats-Maths-with-Python

  General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

  Language:Jupyter Notebook892384374

• ankonzoid/artificio

  Deep Learning Computer Vision Algorithms for Real-World Use

  Language:Python4122014217

• jessicayung/machine-learning-nd

  Udacity's Machine Learning Nanodegree project files and notes.

  Language:Jupyter Notebook252176155

• dsoellinger/Udacity-Machine-Learning-Nanodegree

  All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.

  Language:Jupyter Notebook21480139

• AlexXiao95/Multi-Camera-Vehicle-Tracking-and-Reidentification

  This repository contains our source code of Track 3 in the NVIDIA AI City Challenge Workshop at CVPR 2018. Please find the full source code of both Track 1 and Track 3 here ->

  Language:Python1417332

• pedropb/machine-learning-nanodegree

  Class notes for the Machine Learning Nanodegree at Udacity

  Language:HTML17202

• Vutukuru7227/Decision-Tree

  Repository for CS6375 Machine Learning Decision Tree

  Language:Python40

• Vutukuru7227/Placement-and-Training-Project

  A group Placement and Training Project

  Language:Java42

• Vutukuru7227/My-Website

  My Personal Portfolio

  Language:CSS30

• Vutukuru7227/Find-My-Book

  Language:JavaScript20