bhaveshgoel07

bhaveshgoel07's Stars

• feder-cr/linkedIn_auto_jobs_applier_with_AI

  LinkedIn_AIHawk is a tool that automates the jobs application process on LinkedIn. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized way.

  Language:Python12k1.9k

• anthropics/courses

  Anthropic's educational courses

  Language:Jupyter Notebook4.7k352

• anthropics/prompt-eng-interactive-tutorial

  Anthropic's Interactive Prompt Engineering Tutorial

  Language:Jupyter Notebook584110

• kshitijk4poor/GSoC-report

  this repo contains the gist of my contributions during GSoC'24 @Honeynet

  2

• seriousran/awesome-qa

  😎 A curated list of the Question Answering (QA)

  750105

• conductor-oss/conductor

  Conductor is an event driven orchestration platform

  Language:Java15.8k419

• glasskube/glasskube

  🧊 The next generation Package Manager for Kubernetes 📦 Featuring a GUI and a CLI. Glasskube packages are dependency aware, GitOps ready and can get automatic updates via a central public package repository.

  Language:Go2.9k171

• anirudhakulkarni/Placements-2024

  22037

• AssafSinger94/dino-tracker

  Official Pytorch Implementation for “DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video”

  Language:Python37340

• prmshra/SingleCellData

  Multimodal single-cell data API, for adding information for -omics like scRNA-seq as well as ATAC-seq, spatial transcriptomics, hyperspectral, methylation(s) and imaging data per cell across modalities in streaming.

  Language:Python103

• tuhdo/os01

  Bootstrap yourself to write an OS from scratch. A book for self-learner.

  Language:TeX11.9k696

• massgravel/Microsoft-Activation-Scripts

  Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.

  Language:Batchfile95.8k9.3k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  28.3k1.5k

• dangkhoasdc/awesome-ai-residency

  List of AI Residency Programs

  3.1k272

• ggerganov/ggml

  Tensor library for machine learning

  Language:C++10.9k1k

• Lakhankumawat/LearnCPP

  Learn Cpp from Beginner to Advanced ✅ Practice 🎯 Code 💻 Repeat 🔁 One step solution for c++ beginners and cp enthusiasts.

  Language:C++633491

• ritchieng/the-incredible-pytorch

  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

  11.4k2.1k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.1k1k

• xuyuzhuang11/OneBit

  The homepage of OneBit model quantization framework.

  Language:Python1343

• phidatahq/phidata

  Build AI Assistants with memory, knowledge and tools.

  Language:Python11.1k1.7k

• bhaveshgoel07/ML-Course-Notes

  🎓 Sharing machine learning course / lecture notes.

  1

• Xtremilicious/projectlearn-project-based-learning

  A curated list of project tutorials for project-based learning.

  Language:JavaScript3.5k328

• DataTalksClub/data-engineering-zoomcamp

  Free Data Engineering course!

  Language:Jupyter Notebook24.5k5.3k

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda23.3k2.6k

• HeyPuter/puter

  🌐 The Internet OS! Free, Open-Source, and Self-Hostable.

  Language:JavaScript24.9k1.6k

• shubhamcodez/Market-Impact-Model

  The model focuses on predicting the impact of trading activities on stock prices using order flow imbalance, trading volume and price change

  Language:Jupyter Notebook103

• gi0nyx/GPT-Scratch

  This repo is my attempt at a rough implementation of nanoGPT trained on a dataset of 30,000 unique Twitter usernames

  Language:Python231

• ashishps1/awesome-leetcode-resources

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

  5.5k1.5k

• Dhravya/radish

  Super fast drop-in replacement of the in memory key-value store Redis, made in Golang

  Language:Go38219

• black-shadows/Cracking-the-Coding-Interview

  Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions.

  Language:C++577214