pratikrelekar
Follow
Stars
A community-maintained Python framework for creating mathematical animations.
Answers to 120 commonly asked data science interview questions.
Reading list for Probability and Statistics
CoreNet: A library for training deep neural networks
An open-source, low-code machine learning library in Python
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
🆔 A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
DSPy: The framework for programming—not prompting—language models
Machine Learning Journal for Intermediate to Advanced Topics.
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.
Implementation of Nougat Neural Optical Understanding for Academic Documents
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
A library for efficient similarity search and clustering of dense vectors.
the AI-native open-source embedding database
🦜🔗 Build context-aware reasoning applications
Anthropic's educational courses
Repository for collecting and categorizing papers outlined in our survey paper: "Large Language Models on Tabular Data -- A Survey".
PyTorch Tutorial for Deep Learning Researchers
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
https://huyenchip.com/ml-interviews-book/
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
A scikit-learn compatible neural network library that wraps PyTorch