Lists (1)
Stars
A beautiful, simple, clean, and responsive Jekyll theme for academics
Lightweight coding agent that runs in your terminal
procedural reasoning datasets
A bibliography and survey of the papers surrounding o1
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
Access large language models from the command-line
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?
A list of computational social science (CSS) program, people and groups
Official repository for Citation Style Language (CSL) citation styles.
A curated list of reinforcement learning with human feedback resources (continually updated)
A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.
A latent text-to-image diffusion model
A straightforward mechanism to implement cost sensitive losses in pytorch
A prize for finding tasks that cause large language models to show inverse scaling
A tool for holistic analysis of language generations systems
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Repository for benchmarking graph neural networks (JMLR 2023)
Machine learning metrics for distributed, scalable PyTorch applications.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
🟠 A study guide to learn about Graph Neural Networks (GNNs)
Efficiently computes derivatives of NumPy code.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
State-of-the-Art Text Embeddings