anhphuongnguyenquynh's Stars
HandsOnLLM/Hands-On-Large-Language-Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
wasiahmad/Awesome-LLM-Synthetic-Data
A reading list on LLM based Synthetic Data Generation 🔥
duongngyn0510/continuous-deployment-to-gke-cluster
DataExpert-io/data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
andkret/Cookbook
The Data Engineering Cookbook
SakanaAI/AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
facebookresearch/madgrad
MADGRAD Optimization Method
gzhch/gsd
bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
DataTalksClub/llm-zoomcamp
LLM Zoomcamp - a free online course about building a Q&A system
salesforce/WikiSQL
A large annotated semantic parsing corpus for developing natural language interfaces.
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
chrisjmccormick/word2vec_commented
Commented (but unaltered) version of original word2vec C implementation.
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
FeiSun/BERT4Rec
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
reczoo/FuxiCTR
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
NVIDIA-Merlin/Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
hkproj/pytorch-transformer
Attention is all you need implementation
posit-dev/great-tables
Make awesome display tables using Python.
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
jaywonchung/BERT4Rec-VAE-Pytorch
Pytorch implementation of BERT4Rec and Netflix VAE.
Songweiping/GRU4Rec_TensorFlow
TensorFlow implemenation of GRu4Rec model
hidasib/GRU4Rec
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
hidasib/GRU4Rec_PyTorch_Official
Official implementation of the GRU4Rec algorithm in PyTorch