troll496's Stars
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
neuml/txtai
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
dzharii/awesome-elasticsearch
A curated list of the most important and useful resources about elasticsearch: articles, videos, blogs, tips and tricks, use cases. All about Elasticsearch!
ddangelov/Top2Vec
Top2Vec learns jointly embedded topic, document and word vectors.
castorini/pyserini
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
resumejob/system-design-algorithms
Advanced data structure and algorithm for system design，系统设计需要了解的算法
xhluca/bm25s
Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy
bytedance/monolith
ByteDance's Recommendation System
entron/entity-embedding-rossmann
jacopotagliabue/you-dont-need-a-bigger-boat
An end-to-end implementation of intent prediction with Metaflow and other cool tools
NVIDIA-Merlin/Merlin
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
ZJULearning/nsg
Navigating Spreading-out Graph For Approximate Nearest Neighbor Search
ankurtaly/Integrated-Gradients
Attributing predictions made by the Inception network using the Integrated Gradients method
RAIVNLab/MRL
Code repository for the paper - "Matryoshka Representation Learning"
ylongqi/openrec
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
bhavul/System-Design-Cheatsheet
System Design Studying can be daunting. This gives you a table to study different problems, understand what components they require, their pros and cons, and how to deal with mitigations.
Agrover112/awesome-semantic-search
A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.
ULTR-Community/ULTRA
Unbiased Learning To Rank Algorithms (ULTRA)
RUCAIBox/Negative-Sampling-Paper
This repository collects 100 papers related to negative sampling methods.
petuum/autodist
Simple Distributed Deep Learning on TensorFlow
jingtaozhan/RepCONC
WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
Ibotta/pure-predict
Machine learning prediction in pure Python
o19s/RankyMcRankFace
Hardened Fork of Ranklib learning to rank library
stellargraph/stellar-practical-ml-on-graphs
Course titled Practical Machine Learning on Graphs
vlad17/ml-notes
A collection of ML notes
GoldAndRabbit/gold-deep-rank
Deep neural network codes for ctr/cvr prediction task in ranking process implemented by Tensorflow (1.14/2.4.1 version), using tf.estimator api.