This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are o…

Python decorators to accurately monitor LLM API cost & latency for OpenAI, Anthropic, and other leading AI models

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

[CVPR 2024] DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks

This repository contains a paper collection of the methods for document image processing, including appearance enhancement, deshadowing, dewarping, deblurring, binarization and so on.

Fast, robust Google Flights scraper (API) for Python. (Probably)

streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL

This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.

All Algorithms implemented in Python

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

This project is a **proof of concept** that aims to replicate the reasoning capabilities of OpenAI's newly released O1 model.

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

A curated list of awesome online courses about Large Langage Models (LLMs)

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

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

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/

Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models

LLM101n: Let's build a Storyteller

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…

BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Sample code for the video course: Modern Python: Big Ideas, Little Code

A blueprint for creating Pretraining and Fine-Tuning datasets for Indic languages

Extended Implementation of 'Deep One Class Classification' paper

Unofficial PyTorch implementation of the paper 'FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning'

An easy way to extract information from documents

This repository contains demos I made with the Transformers library by HuggingFace.

Data extraction with LLM on CPU