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Topic: "custom-loss-functions"

orchardbirds/bokbokbok

Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM

Language: Python - Size: 574 KB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 36 - Forks: 7

PiotrGrabysz/PitchGeometry

Detect keypoints at a football pitch

Language: Jupyter Notebook - Size: 44 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0

34j/boost-loss

Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.

Language: Python - Size: 488 KB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 9 - Forks: 0

Ankit-Kumar-Saini/Coursera_TensorFlow_Advanced_Techniques_Specialization

Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.

Language: Jupyter Notebook - Size: 53.9 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 9 - Forks: 4

NeuraXenetica/comport_ai

An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.

Language: Python - Size: 2.56 MB - Last synced at: 27 days ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

EPSOFT/custom-loss-functions

custom loss functions

Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

bismuth01/chainlink-price-predictor

Predict crypto prices using neural nets + LLM-powered custom loss functions on real Chainlink data (ETH/USD)

Language: Python - Size: 58.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ImanNoferesti/TensorFlow_DeepDive

This repository is a testament to my growth and understanding of deep learning. It highlights foundational skills in TensorFlow, demonstrates hands-on applications like car price prediction, and culminates in an advanced medical imaging project for malaria diagnosis.

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

swajayresources/Self-Supervised-Network-with-contrastive-losses

This code is a custom implementation of the Supervised Contrastive Learning paper (https://arxiv.org/abs/2004.11362).

Language: Jupyter Notebook - Size: 2.29 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

lakshyaag/House-Price-Category-Deep-Learning

Multi-task deep learning for predicting house price and category using PyTorch and Lightning

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

JFvdH/SL-for-Int-FC-and-IC

This repository contains code used for the numerical experiments in the Supervised Learning for Integrated Forecasting and Inventory Control paper by Joost F. van der Haar, Arnoud P. Wellens, Robert N. Boute and Rob J.I. Basten.

Language: Python - Size: 71.3 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

AkashSDas/neural-style-transfer

Neural Style Transfer implementation for images and videos using Tensorflow2.

Language: Jupyter Notebook - Size: 22.8 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

griffinbran/Democratizing-Autonomous-Vehicle-Research-and-Development

Simulation of autonomous driving by deep learning with GPU accelerated computing on Google Cloud. Augmentation and custom loss-functions allow self-driving vehicles to maintain lanes, for single trips around virtual tracks, in speed-controlled environments.

Language: Jupyter Notebook - Size: 545 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

heyaudace/communities_and_crime

Deep-Learning approach for generating Fair and Accurate Input Representation for crime rate estimation in continuous protected attributes and continuous targets.

Language: Jupyter Notebook - Size: 16.7 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 2

Related Topics
deep-learning 5 custom-loss 3 machine-learning 3 tensorboard 2 artificial-intelligence 2 functional-api 2 neural-networks 2 evaluation-metrics 2 loss-function 2 lightgbm 2 loss-functions 2 tensorflow2 2 xgboost 2 regression 2 data-augmentation 2 supervised-learning 2 tensorflow 2 pytorch 2 python 2 hrm 1 artificial-neural-networks 1 human-resources 1 modelling 1 prediction-interval 1 prediction-intervals 1 sklearn-compatible 1 tensors 1 sequential-api 1 resnet 1 model-training 1 model-evaluation 1 mixup 1 linear-regression 1 cutmix 1 convolutional-neural-networks 1 cnn 1 autonomous-vehicles 1 sklearn 1 scikit-learn 1 hacktoberfest 1 gradient-boosting 1 gbdt 1 catboost 1 autograd 1 rmspe 1 focal-loss 1 binary-classification 1 time-series-prediction 1 smart-contract-data 1 rnn 1 price-prediction 1 lstm 1 llm 1 gru 1 gemini-api 1 financial-modeling 1 financial-ai 1 ethereum 1 discopop 1 chainlink 1 blockchain-analytics 1 ai-research 1 experiment-tracking 1 deep-neural-networks 1 computer-vision 1 prescriptive-analytics 1 predictive-analytics 1 augmentation 1 variational-autoencoders 1 saliency-map 1 retina-net 1 object-detection 1 model-interpretability 1 mask-rcnn 1 image-segmentation 1 gradient-tape-optimization 1 gradcam-visualization 1 generative-adversarial-networks 1 custom-training-loops 1 custom-model-development 1 custom-layers 1 coursera-specialization 1 auto-encoders 1 videos 1 total-variation-loss 1 tensorflow-hub 1 sobel-edge-detection 1 neural-style-transfer 1 kaggle 1 images 1 gradient-tape 1 fast-style-transfer 1 cv2 1 custom-model 1 sample 1 loss 1 functions 1 custom 1 ml-in-crime 1 ml-fairness 1