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SYSTEM PROMPT TRANSPARENCY FOR ALL - CHATGPT, GEMINI, GROK, CLAUDE, PERPLEXITY, CURSOR, WINDSURF, DEVIN, REPLIT, AND MORE!
FULL v0, Cursor, Manus, Same.dev, Lovable, Devin, Replit Agent, Windsurf Agent & VSCode Agent (And other Open Sourced) System Prompts, Tools & AI Models.
Your toolkit for autonomous, evolving agent ecosystems. Create, execute, govern, and evolve agents that learn from experience, collaborate, build new capabilities, and operate safely within defined…
This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥
Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""
AdaICL: Which Examples to Annotate of In-Context Learning? Towards Effective and Efficient Selection
Accessible large language models via k-bit quantization for PyTorch.
Code for In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
[TMLR 2023] Training and simulating MD with ML force fields
CNN for structure classification through Fourier Transform of voxelized point clouds
some examples of "high math" that we can play with
Implementation code for the paper "Meta-learning via Language Model In-context Tuning" (ACL 2022)
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Must-read papers on prompt-based tuning for pre-trained language models.
润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新中国人的核心宗教，核心信念。
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
This repo uses PointNet [1](https://arxiv.org/abs/1612.00593), a neural network designed for computer vision applications using point clouds. In this study, a properly-trained PointNet was demonstr…
The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.
Productive, portable, and performant GPU programming in Python.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Solutions for CS224W Winter 2021 Colab
A paraphrase generator built using the T5 model which produces paraphrased English sentences.
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…