AyushExel

bridge

DeepTorch

Implementation and tutorial of deep learning algorithms in pyTorch

Detectx-Yolo-V3

Yolo-V3 implementation from scratch in pytorch

GANs

Implementation of GANs research paper.

LibNet

Deep Neural Network algorithms library for c++ from scratch

ml4face-detection

A walkthorugh and tutorial covering all common techniques used for face detection

Neo

Deep learning library in python from scratch

Neural-Style-Transfer

This repo contain the implementation of original neural style transfer algorithm

starrynight

An application to train, experiment with, and deploy real-time style transfer models

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

AyushExel/danswer

Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.

AyushExel/bridge

AyushExel/Dryg

AyushExel/fiftyone

The open-source tool for building high-quality datasets and computer vision models

AyushExel/ImageBind

ImageBind One Embedding Space to Bind Them All

AyushExel/lancedb

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

AyushExel/LlamaIndexTS

LlamaIndex is a data framework for your LLM applications

AyushExel/nn_plus_gzip

Gzip and nearest neighbors for text classification

AyushExel/assets

AyushExel/AutoChain

AutoChain: Build lightweight, extensible, and testable LLM Agents

AyushExel/autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

AyushExel/AyushExel

AyushExel/datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

AyushExel/dspy

Stanford DSPy: The framework for programming with foundation models

AyushExel/functime

Time-series machine learning and embeddings at scale.

AyushExel/lance

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

AyushExel/lancedb-voxel51

AyushExel/langchain

⚡ Building applications with LLMs through composability ⚡

AyushExel/llama_index

LlamaIndex (GPT Index) is a data framework for your LLM applications

AyushExel/ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

AyushExel/marvin

🧩 A lightweight AI engineering framework for building natural language interfaces that are reliable, scalable, and easy to trust.

AyushExel/MemGPT

Teaching LLMs memory management for unbounded context 📚🦙

AyushExel/MetaGPT

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

AyushExel/packgen

testing a package generator

AyushExel/phidata

Memory, knowledge and tools for LLMs

AyushExel/prompttools

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

AyushExel/R2R

A framework for fast development and deployment of production-ready RAG pipelines.

AyushExel/ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

AyushExel/SuperAGI

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

AyushExel/ultralytics

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite