Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis
π Paper: https://www.mdpi.com/2227-7080/11/6/167
π₯ Dataset: https://www.kaggle.com/code/rinichristy/customer-churn-prediction-2020
@Machine_learn
π Paper: https://www.mdpi.com/2227-7080/11/6/167
π₯ Dataset: https://www.kaggle.com/code/rinichristy/customer-churn-prediction-2020
@Machine_learn
β€4
BatchER
π₯ Github: https://github.com/fmh1art/batcher
π Paper: https://arxiv.org/pdf/2312.03987v1.pdf
β¨ Tasks: https://paperswithcode.com/task/data-integration
@Machine_learn
π₯ Github: https://github.com/fmh1art/batcher
π Paper: https://arxiv.org/pdf/2312.03987v1.pdf
β¨ Tasks: https://paperswithcode.com/task/data-integration
@Machine_learn
π1
Syn-Rep-Learn
π₯ Github: https://github.com/google-research/syn-rep-learn
π Paper: https://arxiv.org/pdf/2312.04567v1.pdf
π₯ Dataset: https://paperswithcode.com/dataset/imagenet
@Machine_learn
π₯ Github: https://github.com/google-research/syn-rep-learn
π Paper: https://arxiv.org/pdf/2312.04567v1.pdf
π₯ Dataset: https://paperswithcode.com/dataset/imagenet
@Machine_learn
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π₯ TokenCompose, a text-to-image latent diffusion model trained with fine-grained grounding objectives
π₯ Code: https://github.com/mlpc-ucsd/TokenCompose
π Website: https://mlpc-ucsd.github.io/TokenCompose/
π Paper: https://huggingface.co/papers/2312.03626
@Machine_learn
π₯ Code: https://github.com/mlpc-ucsd/TokenCompose
π Website: https://mlpc-ucsd.github.io/TokenCompose/
π Paper: https://huggingface.co/papers/2312.03626
@Machine_learn
π4
Exploring the potential of channel interactions for image restoration
π₯ Github: https://github.com/c-yn/ChaIR
π Paper: https://www.sciencedirect.com/science/article/abs/pii/S0950705123009061
π₯ Dataset: https://paperswithcode.com/dataset/reside
β¨ Tasks: https://paperswithcode.com/task/deblurring
@Machine_learn
π₯ Github: https://github.com/c-yn/ChaIR
π Paper: https://www.sciencedirect.com/science/article/abs/pii/S0950705123009061
π₯ Dataset: https://paperswithcode.com/dataset/reside
β¨ Tasks: https://paperswithcode.com/task/deblurring
@Machine_learn
π₯ Self-conditioned Image Generation via Generating Representations
A new benchmark in class-unconditional image generation.
π₯ Github: https://github.com/LTH14/rcg
π Paper: https://arxiv.org/abs/2312.03701
π Dataset: https://paperswithcode.com/dataset/imagenet
@Machine_learn
A new benchmark in class-unconditional image generation.
π₯ Github: https://github.com/LTH14/rcg
π Paper: https://arxiv.org/abs/2312.03701
π Dataset: https://paperswithcode.com/dataset/imagenet
@Machine_learn
π1
Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting
π₯ Github: https://github.com/junwuzhang19/repaint123
π Paper: https://arxiv.org/pdf/2312.13271v1.pdf
π₯ Dataset: https://paperswithcode.com/dataset/nerf
@Machine_learn
π₯ Github: https://github.com/junwuzhang19/repaint123
π Paper: https://arxiv.org/pdf/2312.13271v1.pdf
π₯ Dataset: https://paperswithcode.com/dataset/nerf
@Machine_learn
π2
An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms
π₯ Github: https://github.com/francesco-sovrano/automating-regulatory-compliance-an-empirical-study-on-ranking-transparency-of-eu-online-platforms
π Paper: https://arxiv.org/pdf/2312.14794v1.pdf
β¨ Tasks: https://paperswithcode.com/task/information-retrieval
@Machine_learn
π₯ Github: https://github.com/francesco-sovrano/automating-regulatory-compliance-an-empirical-study-on-ranking-transparency-of-eu-online-platforms
π Paper: https://arxiv.org/pdf/2312.14794v1.pdf
β¨ Tasks: https://paperswithcode.com/task/information-retrieval
@Machine_learn
π2
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β‘οΈ LLM360 - framework for open-source LLMs to foster transparency, trust, and collaborative research
π₯ Code: https://short.llm360.ai/amber-code
β‘οΈ Model: https://short.llm360.ai/amber-model
πMetrics: https://short.llm360.ai/amber-metrics
πData: https://short.llm360.ai/amber-data
@Machine_learn
π₯ Code: https://short.llm360.ai/amber-code
β‘οΈ Model: https://short.llm360.ai/amber-model
πMetrics: https://short.llm360.ai/amber-metrics
πData: https://short.llm360.ai/amber-data
@Machine_learn
π2
πViStripformer (Video-Stripformer)
π₯ Github: https://github.com/pp00704831/ViStripformer
π Paper: https://arxiv.org/pdf/2312.14502v1.pdf
β¨ Tasks: https://paperswithcode.com/task/deblurring
π₯Datasets: https://paperswithcode.com/dataset/gopro
@Machine_learn
π₯ Github: https://github.com/pp00704831/ViStripformer
π Paper: https://arxiv.org/pdf/2312.14502v1.pdf
β¨ Tasks: https://paperswithcode.com/task/deblurring
π₯Datasets: https://paperswithcode.com/dataset/gopro
@Machine_learn
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
π₯ Github: https://github.com/OpenDriveLab/LaneSegNet
π Paper: https://arxiv.org/abs/2312.16108v1
π₯Datasets: https://paperswithcode.com/dataset/openlane-v2
@Machine_learn
π₯ Github: https://github.com/OpenDriveLab/LaneSegNet
π Paper: https://arxiv.org/abs/2312.16108v1
π₯Datasets: https://paperswithcode.com/dataset/openlane-v2
@Machine_learn
π§ EasyVolcap: Accelerating Neural Volumetric Video Research
π₯ Code: https://github.com/zju3dv/easyvolcap
πMetrics: https://short.llm360.ai/amber-metrics
π Paper: https://arxiv.org/abs/2312.06575v1
β‘οΈ Dataset: https://paperswithcode.com/dataset/nerf
@Machine_learn
π₯ Code: https://github.com/zju3dv/easyvolcap
πMetrics: https://short.llm360.ai/amber-metrics
π Paper: https://arxiv.org/abs/2312.06575v1
β‘οΈ Dataset: https://paperswithcode.com/dataset/nerf
@Machine_learn
π8
TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming
π₯ Github: https://github.com/IITB-LEAP-OCR/TEXTRON
π Paper: https://openaccess.thecvf.com/content/WACV2024/papers/Kudale_Textron_Weakly_Supervised_Multilingual_Text_Detection_Through_Data_Programming_WACV_2024_paper.pdf
π₯Datasets: https://paperswithcode.com/dataset/docbank
β¨ Tasks: https://paperswithcode.com/task/optical-character-recognition
@Machine_learn
π₯ Github: https://github.com/IITB-LEAP-OCR/TEXTRON
π Paper: https://openaccess.thecvf.com/content/WACV2024/papers/Kudale_Textron_Weakly_Supervised_Multilingual_Text_Detection_Through_Data_Programming_WACV_2024_paper.pdf
π₯Datasets: https://paperswithcode.com/dataset/docbank
β¨ Tasks: https://paperswithcode.com/task/optical-character-recognition
@Machine_learn
π4
TinyLlama-1.1B
π₯ Github: https://github.com/jzhang38/tinyllama
π Paper: https://arxiv.org/pdf/2401.02385v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/mmlu
@Machine_learn
π₯ Github: https://github.com/jzhang38/tinyllama
π Paper: https://arxiv.org/pdf/2401.02385v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/mmlu
@Machine_learn
π₯6π2
π‘ TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering
ΠΡΠΏΡΡΠ΅Π½ TextDiffuser-2 Ρ ΠΊΠΎΠ΄ΠΎΠΌ ΠΈ Π΄Π΅ΠΌΠΎ.
π Paper: https://arxiv.org/abs/2311.16465
π₯ Code: https://github.com/microsoft/unilm/tree/master/textdiffuser-2
β‘οΈ Demo: https://huggingface.co/spaces/JingyeChen22/TextDiffuser-2
@Machine_learn
ΠΡΠΏΡΡΠ΅Π½ TextDiffuser-2 Ρ ΠΊΠΎΠ΄ΠΎΠΌ ΠΈ Π΄Π΅ΠΌΠΎ.
π Paper: https://arxiv.org/abs/2311.16465
π₯ Code: https://github.com/microsoft/unilm/tree/master/textdiffuser-2
β‘οΈ Demo: https://huggingface.co/spaces/JingyeChen22/TextDiffuser-2
@Machine_learn
β€4π4