A repository of links with advice related to grad school applications, research, phd etc

[NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models

Resources for cultural NLP research

Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.

When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought

EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

A simple, unified multimodal models training engine. Lean, flexible, and built for hacking at scale.

The best ChatGPT that $100 can buy.

This repository provides the official resources for EMNLP 2025 Paper Grounding Multilingual Multimodal LLMs With Cultural Knowledge

RLP: Reinforcement as a Pretraining Objective

✨😂 2000+ ways to add design flair, user delight, and whimsy to your product.

A clean, modular SDK for building AI agents with OpenHands V1.

Large multi-modal models (L3M) pre-training.

My PhD Application Materials

Deep Learning for Computer Vision

Learn the building blocks of how to build gpt-oss from scratch

Accelerate, Optimize performance with streamlined training and serving options with JAX.

FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

Wan: Open and Advanced Large-Scale Video Generative Models

slime is an LLM post-training framework for RL Scaling.

[NeurIPS 2025 Spotlight] Towards Understanding Camera Motions in Any Video

Simple & Scalable Pretraining for Neural Architecture Research

Awesome Reasoning LLM Tutorial/Survey/Guide

Claude Code dashboard with usage stats, error analysis, and sharable feature

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade archite…