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awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

best-readme-template

An awesome README template to jumpstart your projects!

change_detection

Change Detection for high resolution statellite images

cnn-topic-classification

Topic Classifcation

co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

conv-adapter

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dividemix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

driving-auto-booking

Auto-booking driving slots

dsd4

general-framework-weak-supervision

This repo provides the codebase for "A General Framework for Weak Supervision"

gtn

Automatic differentiation with weighted finite-state transducers.

guided-diffusion

hawkeye

Open source deep learning based fine-grained image recognition toolbox built on PyTorch🔥

hhhhhhao

hhhhhhao.github.io

i2t2i

Image-to-Text-to-Image Translation

image-cartoonization

lightning

Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.

llm-eval.github.io

mlpractical

Machine Learning Practical (2018-2019)

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

noisy-model-learning

olmo

Modeling, training, eval, and inference code for OLMo

open_clip

An open source implementation of CLIP.

optimizers

For optimization algorithm research and development.

optimum-habana

Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)