388 skills found · Page 2 of 13
geometric-intelligence / TopoBenchTopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
facebookresearch / UnibenchPython Library to evaluate VLM models' robustness across diverse benchmarks
g8a9 / FerretA python package for benchmarking interpretability techniques on Transformers.
piyushpathak03 / Recommendation SystemsRecommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems
IBM / Unitxt🦄 Unitxt is a Python library for enterprise-grade evaluation of AI performance, offering the world's largest catalog of tools and data for end-to-end AI benchmarking
mixedbread-ai / BaguetterBaguetter is a flexible, efficient, and hackable search engine library implemented in Python. It's designed for quickly benchmarking, implementing, and testing new search methods. Baguetter supports sparse (traditional), dense (semantic), and hybrid retrieval methods.
tonybaloney / Rich BenchA little benchmarking tool for Python
stanfordnlp / AxbenchStanford NLP Python library for benchmarking the utility of LLM interpretability methods
dockstring / DockstringA Python package for molecular docking with an extensive, highly-curated dataset and a set of realistic benchmark tasks for drug discovery.
LarHope / Ollama BenchmarkOllama based Benchmark with detail I/O token per second. Python with Deepseek R1 example.
qpsolvers / QpbenchmarkBenchmark for quadratic programming solvers available in Python
JoeyHendricks / Python Benchmark HarnessA micro/macro benchmark framework for the Python programming language that helps with optimizing your software.
faroit / Python Audio Loading BenchmarkBenchmark popular audio i/o packages
rk2900 / DRSADeep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.
polixir / NeoRLPython interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
rasbt / One Python Benchmark Per DayAn ongoing fun challenge where I'll try to post one Python benchmark per day.
CLUEbenchmark / PyCLUEPython toolkit for Chinese Language Understanding(CLUE) Evaluation benchmark
stanleybak / AeroBenchVVPythonPython Version of F-16 Maneuver Verification Benchmark
soarsmu / BugsInPyBugsInPy: Benchmarking Bugs in Python Projects
famzah / Langs PerformanceC++ vs. Python vs. Perl vs. PHP vs. Java vs. NodeJS vs. Go vs. Ruby vs. Rust vs. Swift vs. D performance benchmark
