zhangfanfeynman's Stars
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
amusi/Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
liguodongiot/llm-action
本项目旨在分享大模型相关技术原理以及实战经验。
PaddlePaddle/PaddleRec
Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等
skypilot-org/skypilot
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
datawhalechina/leedl-tutorial
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
xai-org/grok-1
Grok open release
mshumer/gpt-llm-trainer
mli/paper-reading
深度学习经典、新论文逐段精读
HqWu-HITCS/Awesome-Chinese-LLM
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
LianjiaTech/BELLE
BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
LC1332/Luotuo-Chinese-LLM
骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
tloen/alpaca-lora
Instruct-tune LLaMA on consumer hardware
lyhue1991/eat_pyspark_in_10_days
pyspark🍒🥭 is delicious，just eat it!😋😋
MingchaoZhu/DeepLearning
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
mouna99/dien
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
zhongqiangwu960812/AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
yangxudong/deeplearning
深度学习相关的模型训练、评估和预测相关代码
datawhalechina/fun-rec
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
dalmia/Deep-Learning-Book-Chapter-Summaries
Attempting to make the Deep Learning Book easier to understand.
tangxyw/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
jvpoulos/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
dair-ai/ML-Papers-of-the-Week
🔥Highlighting the top ML papers every week.
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
kochbj/Deep-Learning-for-Causal-Inference
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
ymcui/Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)