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👨💻 An awesome and curated list of best code-LLM for research.
A library for mechanistic interpretability of GPT-style language models
Training Sparse Autoencoders on Language Models
Sparsify transformers with SAEs and transcoders
The hub for EleutherAI's work on interpretability and learning dynamics
Productive, portable, and performant GPU programming in Python.
Statistical Rethinking (2nd ed.) with NumPyro
Methods to get the probability of a changepoint in a time series.
Bayesian Change-Point Detection and Time Series Decomposition
A llama.cpp drop-in replacement for OpenAI's GPT endpoints, allowing GPT-powered apps to run off local llama.cpp models instead of OpenAI.
"Deep Dive into AI with MLX and PyTorch" is an educational initiative designed to help anyone interested in AI, specifically in machine learning and deep learning, using Apple's MLX and Meta's PyTo…
The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.
ruptures: change point detection in Python
Curated list of useful LLM / Analytics / Datascience resources
A Gradio web UI for Large Language Models with support for multiple inference backends.
A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.
Extract full next-token probabilities via language model APIs
Re-implement DeepCoder (https://openreview.net/pdf?id=ByldLrqlx)