ajay (ajay-sreeram)

ajay-sreeram

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Company:Target

Location:Bangalore

Twitter:@ajay_sreeram

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ajay's starred repositories

screenshot-to-code

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Language:PythonLicense:MITStargazers:55117Issues:317Issues:276

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

Language:PythonLicense:Apache-2.0Stargazers:41336Issues:437Issues:9184

llm-course

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:34861Issues:363Issues:65

maybe

The OS for your personal finances

Language:RubyLicense:AGPL-3.0Stargazers:28915Issues:152Issues:302

LLMs-from-scratch

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

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:23622Issues:270Issues:64

taipy

Turns Data and AI algorithms into production-ready web applications in no time.

Language:PythonLicense:Apache-2.0Stargazers:10126Issues:68Issues:656

surya

OCR, layout analysis, reading order, line detection in 90+ languages

Language:PythonLicense:GPL-3.0Stargazers:9348Issues:79Issues:104

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Language:PythonLicense:MITStargazers:8816Issues:82Issues:36

unstructured

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Language:HTMLLicense:Apache-2.0Stargazers:7822Issues:52Issues:1061

search_with_lepton

Building a quick conversation-based search demo with Lepton AI.

Language:TypeScriptLicense:Apache-2.0Stargazers:7585Issues:52Issues:64

FlagEmbedding

Retrieval and Retrieval-augmented LLMs

Language:PythonLicense:MITStargazers:6228Issues:38Issues:900

ragas

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

Language:PythonLicense:Apache-2.0Stargazers:5943Issues:32Issues:612

donut

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

Language:PythonLicense:MITStargazers:5580Issues:46Issues:291

langfuse

🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

Language:TypeScriptLicense:NOASSERTIONStargazers:4962Issues:19Issues:447

AlphaCodium

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

Language:PythonLicense:AGPL-3.0Stargazers:3317Issues:51Issues:17

AutoPrompt

A framework for prompt tuning using Intent-based Prompt Calibration

Language:PythonLicense:Apache-2.0Stargazers:1927Issues:10Issues:24

EasyEdit

[知识编辑] [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Language:Jupyter NotebookLicense:MITStargazers:1646Issues:23Issues:277

hallucination-leaderboard

Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

spotlight

Interactively explore unstructured datasets from your dataframe.

Language:TypeScriptLicense:MITStargazers:1081Issues:18Issues:89

local-llms-analyse-finance

In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.

Language:Jupyter NotebookLicense:MITStargazers:742Issues:15Issues:2

dora

Implementation of DoRA

Language:PythonLicense:MITStargazers:275Issues:10Issues:2

minimal-trainer-zoo

Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines

Language:PythonLicense:Apache-2.0Stargazers:196Issues:4Issues:1

Indic-gemma-7b-Navarasa

Repository for fine-tuning gemma models using unsloth for indic languages

Language:Jupyter NotebookStargazers:77Issues:6Issues:4

RAG-with-Cross-Encoder-Reranker

Testing speed and accuracy of RAG with, and without Cross Encoder Reranker.

Language:Jupyter NotebookStargazers:45Issues:1Issues:0
Language:TypeScriptStargazers:27Issues:0Issues:0

blitz-embed

C++ inference wrappers for running blazing fast embedding services on your favourite serverless like AWS Lambda. By Prithivi Da, PRs welcome.

Language:C++License:MITStargazers:21Issues:0Issues:0