TheoHLong's Stars
john-hewitt/structural-probes
Codebase for testing whether hidden states of neural networks encode discrete structures.
callummcdougall/ARENA_3.0
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
ytzfhqs/AAAMLP-CN
Approaching (Almost) Any Machine Learning Problem中译版,在线文档地址:https://ytzfhqs.github.io/AAAMLP-CN/
SakanaAI/AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
callummcdougall/ARENA_2.0
Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.
EurekaLabsAI/ngram
The n-gram Language Model
karpathy/LLM101n
LLM101n: Let's build a Storyteller
assafelovic/gpt-researcher
LLM based autonomous agent that does online comprehensive research on any given topic
fchollet/nelder-mead
Pure Python/Numpy implementation of the Nelder-Mead algorithm.
RLDMJC/Journal_Club
minyoungg/platonic-rep
modelscope/modelscope-classroom
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All
Liuhong99/Sophia
The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”
zjunlp/EasyEdit
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
OpenBMB/ChatDev
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
fchollet/ARC-AGI
The Abstraction and Reasoning Corpus
andrewyng/translation-agent
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
pytorch/torchtune
PyTorch native finetuning library
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
jbloomAus/SAELens
Training Sparse Autoencoders on Language Models
neelnanda-io/1L-Sparse-Autoencoder
ai-safety-foundation/sparse_autoencoder
Sparse Autoencoder for Mechanistic Interpretability
HoagyC/sparse_coding
Using sparse coding to find distributed representations used by neural networks.
evanhanders/superposition-geometry-toys
Experiments for running toy models of superposition as in Anthropic's 2022 paper. These experiments focus on superposition of composed features.