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Cambridge, Massachusetts
- United States
- tekrajchhetri.com
- https://orcid.org/0000-0002-3905-7878
- @TekRaj_14
Stars
Tutorial on large language models for genomics
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Jobs_Applier_AI_Agent_AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).
Supercharge Your LLM Application Evaluations 🚀
🔗 Semantic MediaWiki turns MediaWiki into a knowledge management platform with query and export capabilities
🦜🔗 Build context-aware reasoning applications
Mastering REST APIs with FastAPI, by Packt Publishing
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
⬆️ GitHub Actions uptime monitor & status page by @AnandChowdhary
Machine Learning Engineering Open Book
A standardized form generation and data collection schema to harmonize results by design across projects.
An IPython magic extension for printing date and time stamps, version numbers, and hardware information
Deep Learning with TensorFlow, Keras, and PyTorch
Publication-quality network visualisations in python
An interoperable and scalable tool for GDPR consent management and automated compliance verification.
Curated list of resources for Embedded and Low-level development in the Rust programming language
Ethereum development and test single and multi-node clusters using Docker 🐳
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
Concise and beautiful algorithms written in Julia
mirror from http://lotsofcores.com book 2, since dropbox isn't good for everyone