dmarx/dmarx-github-stars huggingface dataset:
Repository: Nuitka/Nuitka
Description: Nuitka is a Python compiler written in Python.  It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module. 
Language: Python
Topics: compiler, nuitka, packaging-tool, performance, programming, python, python-compiler
Homepage: http://nuitka.net
Repository: cap-ntu/ML-Model-CI
Description: MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.
Language: Python
Topics: continuous-integration, convert-models, deep-learning, dispatcher, inference, mlops, onnx, profiler, pytorch, serving, tensorflow-serving, tensorrt, tensorrt-inference-server
Homepage: https://mlmodelci.com
Repository: implus/GFocal
Description: Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
Language: Python
Topics: anchor-free, classification, dense-detector, dense-object-detection, detection, dfl, dirac-delta-distribution, focal-loss, focalloss, generalized-focal-loss, gfl, inference, neurips-2020, object-detection, object-recognition, one-stage, qfl, quality-estimation, single-stage
Repository: RelevanceAI/vectorhub
Description: Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
Language: Python
Topics: artificial-intelligence, audio-processing, deep-learning, deeplearning, embeddings, encodings, image2vec, machine-learning, neural-network, python, pytorch, tensorflow, tfhub, transformers, vector, vector-similarity, video-processing, word2vec
Homepage: https://tryrelevance.com