YuyangZhangFTD's Stars
Doragd/Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
borisdayma/dalle-mini
DALL·E Mini - Generate images from a text prompt
Yunhui1998/Reinforcement_learning_tutorial
Share notes on learning reinforcement learing
liber145/rlpack
A pack of reinforcement learning algorithms.
jvpoulos/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.
huangsg1/uncertainty-calibration
A collection of research and application papers of (uncertainty) calibration techniques.
LAMDA-NJU/Deep-Forest
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
usaito/counterfactual-cv
(ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
ryantibs/conformal
Tools for conformal inference in regression
dexplo/dexplot
Simple plotting library that wraps Matplotlib and integrated with DataFrames
clinicalml/cfrnet
Counterfactual Regression
LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
dalmia/David-Silver-Reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
piEsposito/blitz-bayesian-deep-learning
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
skorch-dev/skorch
A scikit-learn compatible neural network library that wraps PyTorch
guofei9987/scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
wzhe06/Reco-papers
Classic papers and resources on recommendation
imsheridan/DeepRec
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
databricks/koalas
Koalas: pandas API on Apache Spark
jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
claudiashi57/dragonnet
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Lightning-AI/deep-learning-project-template
Pytorch Lightning code guideline for conferences
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
mbs0221-mlsys/Multitask-Learning
Awesome Multitask Learning Resources
locuslab/e2e-model-learning
Task-based end-to-end model learning in stochastic optimization
IgorSusmelj/pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
demuxin/pytorch_tricks
some tircks for PyTorch