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Stealth
- Banglore, India
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20:05
(UTC +05:30) - https://tarunjain.netlify.app/
- @AIwithTarun
- @TRJ_0751
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A complete computer science study plan to become a software engineer.
Curated list of project-based tutorials
An Open Source Machine Learning Framework for Everyone
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Command-line program to download videos from YouTube.com and other video sites
A feature-rich command-line audio/video downloader
🦜🔗 The platform for reliable agents.
21 Lessons, Get Started Building with Generative AI
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
scikit-learn: machine learning in Python
The world's simplest facial recognition api for Python and the command line
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Extremely fast Query Engine for DataFrames, written in Rust
Code and documentation to train Stanford's Alpaca models, and generate the data.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
🤗 smolagents: a barebones library for agents that think in code.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Build resilient language agents as graphs.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…