yashjhaveri05

yashjhaveri05's Stars

• PAIR-code/saliency

  Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

  Language:Jupyter Notebook952191

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.6k1.8k

• donnemartin/system-design-primer

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

  Language:Python274k46.1k

• ashishps1/awesome-behavioral-interviews

  Tips and resources to prepare for Behavioral interviews.

  4.6k806

• ashishps1/awesome-leetcode-resources

  Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.

  Language:Java6.1k1.7k

• ashishps1/awesome-low-level-design

  Learn Low Level Design (LLD) and prepare for interviews using free resources.

  Language:Java8.2k2.1k

• ashishps1/awesome-system-design-resources

  Learn System Design concepts and prepare for interviews using free resources.

  Language:Java18.1k4.4k

• shalinc/Nested-Loop-Join

  Nested Loop Join Algorithm Implementation in C

  Language:C1

• foysal-mahmud/E-BookShop----Spring-boot

  Complete E-Commerce Project using Spring boot, Hibernate, Thymeleaf & MySQL

  Language:Java13950

• krishnaik06/Data-Science-Gen-AI-Playlist-2024

  606143

• deepfindr/xai-series

  Language:Python184102

• jphall663/awesome-machine-learning-interpretability

  A curated list of awesome responsible machine learning resources.

  3.6k586

• anarchy-ai/LLM-VM

  irresponsible innovation. Try now at https://chat.dev/

  Language:Python479146

• naresh1406/youtube

  Language:Java3529

• diningphil/gnn-comparison

  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

  Language:Python38154

• dedsec29/CP

  Algorithms, Trivial problems, code, concepts, data structures

  Language:C++4

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python168k44.3k

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook13.3k4.2k

• seongjunyun/Graph_Transformer_Networks

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

  Language:Jupyter Notebook970178

• durgeshsamariya/awesome-github-profile-readme-templates

  This repository contains best profile readme's for your reference.

  Language:HTML4.3k7k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.8k

• zerodha/gchatgpt

  Google Chat bot for OpenAI ChatGPT

  Language:Go8211

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  67.1k9.1k

• bradtraversy/nodejs-openai-image

  Web app that uses Node.js and OpenAI to generate images

  Language:CSS305168

• namandangi/masters-information-portal

  Website for students applying for masters in the college.

  2

• barissayil/SentimentAnalysis

  Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

  Language:Python36347

• Priyabrata017/Crop-prediction-using-Machine-Learning

  This project helps to predict the suitable crop and its price according to the air humidity, soil moisture, soil pH and rainfall.

  Language:Python7045

• twjiang/graphSAGE-pytorch

  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

  Language:Python624151

• EdisonLeeeee/GraphGallery

  GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.

  Language:Python45964

• weimingwill/EasyFL

  An easy-to-use federated learning platform

  Language:Python29550