mscer
currently worded at alibaba . Interest in data science,machine leanring. And data science = math + stat + cs
alibababeijing.china
mscer's Stars
karpathy/LLM101n
LLM101n: Let's build a Storyteller
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
jackynorland/NeechigoVPN
One click to access some specified websites safely.
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
RUCAIBox/Awesome-RSPapers
Recommender System Papers
RenzeLou/awesome-instruction-learning
Papers and Datasets on Instruction Tuning and Following. ✨✨✨
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
Timothyxxx/Chain-of-ThoughtsPapers
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
GitbookIO/gitbook
The open source frontend for GitBook doc sites
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
nlintz/TensorFlow-Tutorials
Simple tutorials using Google's TensorFlow Framework
pkmital/tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
jimmysong/programmingbitcoin
Repository for the book
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
Georgetown-IR-Lab/OpenNIR
An end-to-end neural ad-hoc ranking pipeline.
familyld/Awesome-Best-Papers
Collect awesome best papers from top AI conferences.
Machine-Learning-Tokyo/AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
facebookresearch/dlrm
An implementation of a deep learning recommendation model (DLRM)
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
zhoubolei/introRL
Intro to Reinforcement Learning (强化学习纲要）
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
lopusz/awesome-interpretable-machine-learning
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)