Pinned Repositories
AboutCausalAI
This is an Introduction to Causal AI
ai-deadlines
:alarm_clock: AI conference deadline countdowns
align-anything
目前关心定制奖励模型
AMchat
AM (Advanced Mathematics) Chat is a large language model that integrates advanced mathematical knowledge, exercises in higher mathematics, and their solutions. AM (Advanced Mathematics) chat 高等数学大模型。一个集成数学知识和高等数学习题及其解答的大语言模型。
awesome-causality-data
A data index for learning causality.
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
cruiser
混沌巡洋舰博客测试版
hyperlearn
50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
NessCausalML
Robert Ness's Causal Machine Learning Course 总结
Pyro4CI
Deep universal probabilistic programming with Python and PyTorch
1587causalai's Repositories
1587causalai/NessCausalML
Robert Ness's Causal Machine Learning Course 总结
1587causalai/AboutCausalAI
This is an Introduction to Causal AI
1587causalai/align-anything
目前关心定制奖励模型
1587causalai/AMchat
AM (Advanced Mathematics) Chat is a large language model that integrates advanced mathematical knowledge, exercises in higher mathematics, and their solutions. AM (Advanced Mathematics) chat 高等数学大模型。一个集成数学知识和高等数学习题及其解答的大语言模型。
1587causalai/awesome-causal-ChatGPT
Awesome Causal ChatGPT
1587causalai/causal-learn
Causal Discovery for Python. Translation and extension of the Tetrad Java code.
1587causalai/causalML
A course on causal machine learning.
1587causalai/causalml-data
Uplift modeling and causal inference with machine learning algorithms
1587causalai/ColossalAI
Making large AI models cheaper, faster and more accessible
1587causalai/DecisionTree
《机器学习》周志华（西瓜书）的决策树，实现了决策树的构建、可视化及预测。
1587causalai/discoreg
1587causalai/DoWhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
1587causalai/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
1587causalai/Hung-yi-Lee-GenAI-2024-Notes
结合书生·浦语参大模型实战营的内容， 系统化学习李宏毅老师 2024 年《生成式人工智能导论》课程。
1587causalai/Info-Causal-Models
信息因果模型
1587causalai/InfoIntervention
1587causalai/InternLM-Tutorial-Personalized-LLM-Research-Assistent
一个定制化的问答机器人,专注于为学者提供个性化大语言模型领域的专业知识和有价值的参考资料。
1587causalai/jmlr-style-file
LaTeX style file for the Journal of Machine Learning Research
1587causalai/llm_interview_note
大模型面试题及答案，大模型八股文
1587causalai/machine-learning-toy-code
《机器学习》（西瓜书）代码实战
1587causalai/MedicalGPT-Training-Pipeline
训练定制大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO。
1587causalai/PersonalizedLLM-gradio
chat 的 web-ui 代码 for Personalized LLM
1587causalai/pyro_zh_tutorial
Pyro official tutorial 的中文编译项目，在保证原文意思的前提下加入一些自己的理解。
1587causalai/RLHF-Reward-Modeling-Quickstart
Quick Start Recipes to train reward model for RLHF.
1587causalai/scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
1587causalai/storm_academic_writing
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
1587causalai/tangjieReport
Presentation at Tang Jie's Lab
1587causalai/tcs
Book in preparation: introduction to theoretical computer science
1587causalai/xtuner
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
1587causalai/YLearn
YLearn, a pun of "learn why", is a python package for causal inference