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Question bank for ML/Quant Interviews
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
Plyer is a platform-independent Python wrapper for platform-dependent APIs
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Investigating PINNs
Build AI WhatsApp Bots with Pure Python
Discrete differential geometry in Python. Derived from CMU and Caltech Codebases and Published papers
A simple web application built with Streamlit that allows users to upload a PDF file and display its pages as images. Users can select a page from the uploaded PDF and view its content as text.
Codes for the paper "A mathematical perspective on Transformers".
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audi…
Official implementations for paper: Anydoor: zero-shot object-level image customization
Enhanced ChatGPT Clone: Features OpenAI, Assistants API, Azure, Groq, GPT-4 Vision, Mistral, Bing, Anthropic, OpenRouter, Vertex AI, Gemini, AI model switching, message search, langchain, DALL-E-3,…
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…
Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models
Crawl a site to generate knowledge files to create your own custom GPT from a URL
Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine
SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)
Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person
A unified framework for 3D content generation.
GPT Interviewer - Practice interview with AI interviewer based on job descriptions and resume
Radiology Report Generation with Frozen LLMs
Testing Theory of Mind (ToM) in language models with epistemic logic
The Open Source Code for LLM4SD (Large Language Models for Scientific Synthesis, Inference and Explanation)
A comprehensive guide and codebase for text summarization using Large Language Models (LLMs). Dive into techniques, from chunking to clustering, and harness the power of LLMs like GPT-3.5 and GPT-4.
My version of the Stanford experiment "Generative Agents: Interactive Simulacra of Human Behavior" in Python using a local LLM.