Nguyen Khanh Linh linhkid
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All Algorithms implemented in Python
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A visual, example-driven guide to Claude Code β from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear...
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
CLI tool for configuring and monitoring Claude Code
Fully open reproduction of DeepSeek-R1
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
"RAG-Anything: All-in-One RAG Framework"
Train transformer language models with reinforcement learning.
Code samples for my book "Neural Networks and Deep Learning"
Minimal reproduction of DeepSeek R1-Zero
π‘ All-in-one AI framework for semantic search, LLM orchestration and language model workflows
A collection of sample agents built with Agent Development Kit (ADK)
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
Open-source context retrieval layer for AI agents
A PyTorch native platform for training generative AI models
π Efficient implementations for emerging model architectures
A fast inference library for running LLMs locally on modern consumer-class GPUs
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
AdalFlow: The library to build & auto-optimize LLM applications.
A library for mechanistic interpretability of GPT-style language models
Post-training with Tinker
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.