Angad (angadbawa)

angadbawa

Geek Repo

Location:Hyderabad, India

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Angad's starred repositories

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Language:PythonLicense:NOASSERTIONStargazers:83995Issues:1743Issues:46634

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Language:PythonLicense:MITStargazers:37363Issues:375Issues:318

ultralytics

Ultralytics YOLO11 🚀

Language:PythonLicense:AGPL-3.0Stargazers:32625Issues:186Issues:9418

mem0

The Memory layer for your AI apps

Language:PythonLicense:Apache-2.0Stargazers:22849Issues:129Issues:677

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Language:PythonLicense:AGPL-3.0Stargazers:9757Issues:90Issues:365

Transformers-Tutorials

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

Language:Jupyter NotebookLicense:MITStargazers:9482Issues:141Issues:452

AI-Scientist

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:8180Issues:105Issues:108

shapely

Manipulation and analysis of geometric objects

Language:PythonLicense:BSD-3-ClauseStargazers:3903Issues:90Issues:1215

awesome-RLHF

A curated list of reinforcement learning with human feedback resources (continually updated)

torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Language:PythonLicense:MITStargazers:2757Issues:51Issues:443

llm-twin-course

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

Language:PythonLicense:MITStargazers:2679Issues:63Issues:15

LLMDataHub

A quick guide (especially) for trending instruction finetuning datasets

sports

computer vision and sports

Language:PythonLicense:MITStargazers:2516Issues:51Issues:21

Semantic-SAM

[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

whitebox-tools

An advanced geospatial data analysis platform

Language:RustLicense:MITStargazers:964Issues:39Issues:322
Language:Jupyter NotebookLicense:GPL-3.0Stargazers:715Issues:8Issues:3
Language:Jupyter NotebookLicense:GPL-3.0Stargazers:283Issues:12Issues:6

StyleShot

StyleShot: A SnapShot on Any Style. 一款可以迁移任意风格到任意内容的模型,无需针对图片微调,即能生成高质量的个性风格化图片!

Language:PythonLicense:MITStargazers:261Issues:4Issues:22

tms2geotiff

Download tiles from Tile Map Server (online maps) and make a large geo-referenced image

Language:PythonLicense:BSD-2-ClauseStargazers:137Issues:5Issues:4

Machine-Learning-Research-Papers

A list of research papers in the domain of machine learning, deep learning and related fields.

football_analysis

A comprehensive tool for processing and analyzing video footage, producing detailed insights into gameplay and player performance enhancing game understanding and performance evaluation.

Language:Jupyter NotebookLicense:MITStargazers:76Issues:4Issues:0

Analyze-Github-Code

Get the information of a Github Repository using the power of LLM.

Language:PythonStargazers:38Issues:2Issues:0

GoalEx

Implementation of the Paper "Goal-Driven Explainable Clustering via Language Descriptions"

Language:PythonStargazers:35Issues:4Issues:0

ML-conferences

List of ML conferences with important dates and accepted paper list

Language:CSSLicense:MITStargazers:31Issues:2Issues:0

crewai_llama3_arduino

CrewAI + Ollama + Llama3 team up to program my Arduino UNO

Language:PythonStargazers:12Issues:1Issues:0

tell-what-a-video-does

Know what a youtube video is about with the help of LLMs.

Language:PythonStargazers:4Issues:1Issues:0

Twitter-Layoff-Analysis-2024

This project involves the comprehensive analysis of Twitter data related to layoffs using various data science and natural language processing (NLP) techniques. The main objectives include data scraping, preprocessing, sentiment analysis, topic modeling, named entity recognition, keyword extraction, and emotion analysis.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1Issues:0Issues:0

Twitter-Layoff-Analysis-2024

This project involves the comprehensive analysis of Twitter data related to layoffs using various data science and natural language processing (NLP) techniques. The main objectives include data scraping, preprocessing, sentiment analysis, topic modeling, named entity recognition, keyword extraction, and emotion analysis.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1Issues:0Issues:0