Stars
Building Open LLM Web Agents with Self-Evolving Online Curriculum RL
TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.
Python A2A is a powerful, easy-to-use library for implementing Google's [Agent-to-Agent (A2A) protocol](https://google.github.io/A2A/). It enables seamless communication between AI agents, creating…
Kimi-Audio, an open-source audio foundation model excelling in audio understanding, generation, and conversation
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
A course on aligning smol models.
This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Data Engineering Practice Problems
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A collection of notebooks for Natural Language Processing from NLP Town
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
PyTorch Tutorial for Deep Learning Researchers
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
A complete computer science study plan to become a software engineer.
Snippext: Semi-supervised Opinion Mining with Augmented Data
Implementing nlp papers relevant to classification with PyTorch, gluonnlp