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Malvern Panalytical
- Bristol, UK
- amontgomerie.github.io
- @AMontgomerie_
Stars
An extremely fast Python package and project manager, written in Rust.
Efficient few-shot learning with Sentence Transformers
SpanMarker for Named Entity Recognition
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
An extremely fast Python linter and code formatter, written in Rust.
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
LangChain for Go, the easiest way to write LLM-based programs in Go
🦜🔗 The platform for reliable agents.
The release of the Twitter algorithm, annotated for recsys
Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-fundamentals?utm_source=daniel
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022
Semantic Segmentation with Pytorch-Lightning
🧮 A collection of resources to learn mathematics for machine learning
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
A library for efficient similarity search and clustering of dense vectors.
Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
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 i…
Conditional GAN for generating synthetic tabular data.