custom-loss-functions

There are 0 repository under custom-loss-functions topic.

bokbokbok
orchardbirds / bokbokbok
Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM
lightgbm xgboost evaluation-metrics loss-functions custom-loss-functions rmspe focal-loss binary-classification regression classification machine-learning machine-learning-algorithms
Language:Python 38
PiotrGrabysz / PitchGeometry
Detect keypoints at a football pitch
computer-vision custom-loss-functions data-augmentation deep-neural-networks experiment-tracking
Language:Jupyter Notebook 24
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.
coursera-specialization object-detection tensorflow2 variational-autoencoders model-interpretability gradcam-visualization saliency-map image-segmentation functional-api auto-encoders mask-rcnn generative-adversarial-networks gradient-tape-optimization custom-training-loops custom-loss-functions custom-layers custom-model-development retina-net
Language:Jupyter Notebook 11
34j / boost-loss
Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.
catboost lightgbm scikit-learn sklearn sklearn-compatible xgboost autograd custom-loss custom-loss-functions gbdt gradient-boosting pytorch evaluation-metrics hacktoberfest
Language:Python 10
yiamcb / TAFN
Temporal Attention Fusion Network with Custom Loss Function for EEG-fNIRS Classification
brain-computer-interface eeg fnirs attention-mechanism biomedical-informatics deep-learning machine-learning signal-processing classification custom-loss-functions eeg-fnirs
Language:Python 7
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.
artificial-intelligence artificial-neural-networks custom-loss-functions hrm human-resources loss-function loss-functions machine-learning modelling prediction-interval prediction-intervals predictive-analytics prescriptive-analytics python
Language:Python 2
AkashSDas / neural-style-transfer
Neural Style Transfer implementation for images and videos using Tensorflow2.
tensorflow2 neural-style-transfer images tensorflow-hub kaggle sobel-edge-detection total-variation-loss gradient-tape custom-model custom-loss-functions videos cv2 fast-style-transfer
Language:Jupyter Notebook 1
EPSOFT / custom-loss-functions
custom loss functions
custom custom-loss custom-loss-functions functions loss python sample
Language:Jupyter Notebook 1
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.
custom-loss-functions forecasting inventory supervised-learning
Language:Python 1
aliprf / KD-Loss
Facial Landmark Detection Using Knowledge Distillation-Based Neural Networks
face-alignment facial-landmarks facial-landmarks-detection computer-vision facial-landmarks-localization deep-learning deep-neural-networks convolutional-neural-networks knowledge-distillation custom-loss-functions custom-loss lightweight lightweight-neural-network kd-loss
Language:Python 0
bismuth01 / chainlink-price-predictor
Predict crypto prices using neural nets + LLM-powered custom loss functions on real Chainlink data (ETH/USD)
ai-research blockchain-analytics chainlink custom-loss-functions deep-learning discopop ethereum financial-ai financial-modeling gemini-api gru llm loss-function lstm neural-networks price-prediction rnn tensorflow time-series-prediction smart-contract-data
Language:Python 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.
deep-learning autonomous-vehicles convolutional-neural-network augmentation image-preprocessing batch-generation custom-loss-functions keras-tensorflow opencv-python pickle
Language:Jupyter Notebook 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.
ml-fairness ai-fairness machine-learning machine-learning-fairness ml-in-crime ai artificial-intelligence deep-learning keras custom-loss custom-loss-functions mit-dlab mit
Language:Jupyter Notebook 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.
cnn convolutional-neural-networks custom-loss-functions cutmix data-augmentation deep-learning functional-api linear-regression machine-learning mixup model-evaluation model-training neural-networks resnet sequential-api tensorboard tensorflow tensors
Language:Jupyter Notebook 0
lakshyaag / House-Price-Category-Deep-Learning
Multi-task deep learning for predicting house price and category using PyTorch and Lightning
classification custom-loss-functions deep-learning multi-task-learning neural-network pytorch pytorch-lightning regression tensorboard
Language:Jupyter Notebook 0
sushant-joshi / tensorflow-deepdive
Building Advanced Neural Networks with Tensorflow: A Deepdive
cnn computer-vision custom-layers custom-loss-functions custom-models functional-api lstm nlp rnn sequential-models tensorflow2 time-series
Language:Jupyter Notebook 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).
contrastive-learning contrastive-loss custom-loss-functions resnet-50 self-supervised-learning supervised-learning
Language:Jupyter Notebook 0