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Queen Mary University of London
- London, United Kingdom
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01:01
(UTC) - www.matthawrot.com
- @matthawrot
Stars
Provider-agnostic, open-source evaluation infrastructure for language models
📑 PageIndex: Document Index for Reasoning-based RAG
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…
🦜🔗 The platform for reliable agents.
An extremely fast Python linter and code formatter, written in Rust.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
A script to find and delete duplicate images using pHash.
BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models
Pistol, Rifle, and Fire detection using yolov4-tiny in videos as well as images. Training code, dataset, and trained weight file available.
This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.
Popular stopwords for general languages - very usefull for building dictionaries, searchers or text indexes
Pre-trained models and language resources for Natural Language Processing in Polish
A curated list of resources dedicated to Natural Language Processing (NLP) in polish. Models, tools, datasets.
Files for Udemy Course on Algorithms and Data Structures
Preparing for machine learning interviews
All Algorithms implemented in Python
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Inte…
How to use ELMo embeddings in Keras with Tensorflow Hub
Datasets for weapon detection based on image classification and object detection tasks
hawrot / PyTorch-GAN
Forked from eriklindernoren/PyTorch-GANPyTorch implementations of Generative Adversarial Networks.
Code and hyperparameters for the paper "Generative Adversarial Networks"