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FastEstimator
fastestimator/fastestimator
Home
Install
Apphubs
Apphubs
Overview
Anomaly Detection
Anomaly Detection
Anomaly Detection with Fastestimator
Multi-task Learning
Multi-task Learning
Multi-Task Learning using Uncertainty Weighted Loss
Instance Segmentation
Instance Segmentation
SOLOv2
Instance Detection
Instance Detection
YOLOv5
Instance Detection with RetinaNet
Learning Rate Scheduling
Learning Rate Scheduling
Super-Convergence Learning Rate Schedule (TensorFlow Backend)
Foundation Model
Foundation Model
Generative Pretrained Transformer (GPT)
Low-Rank Adaption of ViT-based Model for Image Segmentation
Image Generation
Image Generation
Convolutional Variational Autoencoder using the MNIST dataset (TensorFlow backend)
Progressive Growing GAN (PGGAN)
DCGAN on the MNIST Dataset
Horse to Zebra Unpaired Image Translation with CycleGAN in FastEstimator
Stable Diffusion for Chest X-Ray Images
Neural Architecture Search
Neural Architecture Search
Neural Architecture Search without Training (NASWOT) on CI10 (Tensorflow Backend)
Adversarial Training
Adversarial Training
Adversarial Training Using the Fast Gradient Sign Method (FGSM)
Adversarial Robustness with Error Correcting Codes (and Hinge Loss)
Adversarial Robustness with Error Correcting Codes
Tabular Data
Tabular Data
Breast Cancer Detection
Contrastive Learning
Contrastive Learning
SimCLR on CIFAIR10 Image Classification (Tensorflow Backend)
AutoML
AutoML
RandAug: automated data augmentation with reduced search space
Curriculum Learning
Curriculum Learning
Curriculum Learning with SuperLoss (Tensorflow Backend)
One-shot Learning
One-shot Learning
One-Shot Learning using a Siamese Network in FastEstimator
Keypoint Detection
Keypoint Detection
High-Resolution Net for Keypoint Detection
Natural Language Processing (NLP)
Natural Language Processing (NLP)
Neural Machine Translation Using Transformer
Named Entity Recognition using BERT Fine-Tuning
Sentiment Prediction in IMDB Reviews using an LSTM
Languge Modeling using LSTM on Penn Treebank
Image Style Transfer
Image Style Transfer
Fast Style Transfer with FastEstimator
Semantic Segmentation
Semantic Segmentation
Semantic segmentation using Line Search
Lung Segmentation Using the Montgomery Dataset
Microscopy Cell Segmentation Using Unet 3D 3plus
Image Classification
Image Classification
MNIST Image Classification Using LeNet (Tensorflow Backend)
Image Classification with Deep Pyramidal Residual Networks
Image Classification Using Vision Transformer
Image Classification Using LeViT
CIFAR-10 Image Classification Using ResNet (PyTorch Backend)
Tutorials
Tutorials
Beginner Tutorials
Beginner Tutorials
Tutorial 1: Getting Started
Tutorial 2: Creating a FastEstimator dataset
Tutorial 3: Operator
Tutorial 4: Pipeline
Tutorial 5: Model
Tutorial 6: Network
Tutorial 7: Estimator
Tutorial 8: Mode
Tutorial 9: Inference
Tutorial 10: How to use CLI
Tutorial 11: Debugging
Tutorial 12: Visualization
Advanced Tutorials
Advanced Tutorials
Advanced Tutorial 1: Dataset
Advanced Tutorial 2: Pipeline
Advanced Tutorial 3: Operator
Advanced Tutorial 4: Trace
Advanced Tutorial 5: Scheduler
Advanced Tutorial 6: Summary
Advanced Tutorial 7: Learning Rate Scheduling
Advanced Tutorial 8: Explainable AI (XAI)
Advanced Tutorial 9: Meta Ops
Advanced Tutorial 10: Automated Report Generation
Advanced Tutorial 11: Model Calibration
Advanced Tutorial 12: Hyperparameter Search
Advanced Tutorial 13: Multi-Dataset Training and Evaluation
Advanced Tutorial 14: Ops with Custom Data Loaders
Advanced Tutorial 15: Finetuning Tutorial
Advanced Tutorial 16: Model Robustness
Advanced Tutorial 17: Slicer
XAI Tutorials
XAI Tutorials
XAI Tutorial 1: Label Tracking
XAI Tutorial 2: Instance Tracking
XAI Tutorial 3: Saliency Maps
XAI Tutorial 4: EigenCAM
XAI Tutorial 5: GradCAM
API
API
fe
fe
estimator
network
pipeline
fe.schedule
fe.schedule
lr_schedule
schedule
fe.trace
fe.trace
trace
fe.trace.adapt
fe.trace.adapt
lr_scheduler
terminate_on_nan
reduce_lr_on_plateau
pbm_calibrator
early_stopping
fe.trace.io
fe.trace.io
model_saver
image_saver
image_viewer
restore_wizard
test_report
best_model_saver
csv_logger
traceability
grid_display
batch_display
tensorboard
fe.trace.meta
fe.trace.meta
_per_ds
fe.trace.xai
fe.trace.xai
label_tracker
grad_cam
saliency
eigen_cam
instance_tracker
fe.trace.metric
fe.trace.metric
bleu_score
recall
calibration_error
f1_score
dice
precision
mean_average_precision
accuracy
mcc
confusion_matrix
auc
fe.layers
fe.layers
fe.layers.tensorflow
fe.layers.tensorflow
hadamard
instance_norm
reflection_padding_2d
fe.layers.pytorch
fe.layers.pytorch
cropping_2d
hadamard
fe.test
fe.test
unittest_util
nightly_util
fe.util
fe.util
google_download_util
base_util
traceability_util
util
wget_util
img_data
latex_util
cli_util
data
fe.slicer
fe.slicer
axis_slicer
mean_unslicer
slicer
sliding_slicer
fe.op
fe.op
fe.op.numpyop
fe.op.numpyop
fe.op.numpyop.multivariate
fe.op.numpyop.multivariate
pad_if_needed
smallest_max_size
read_mat
crop_and_pad
random_sized_crop
mask_dropout
random_rotate_90
random_scale
optical_distortion
center_crop
affine
bbox_safe_random_crop
crop_non_empty_mask_if_exists
crop
resize
random_crop_from_borders
transpose
random_sized_bbox_safe_crop
multivariate
horizontal_flip
flip
random_resized_crop
grid_distortion
rotate
random_grid_shuffle
random_crop_near_bbox
longest_max_size
random_crop
elastic_transform
shift_scale_rotate
vertical_flip
fe.op.numpyop.meta
fe.op.numpyop.meta
one_of
sometimes
repeat
fuse
numpyop
fe.op.numpyop.univariate
fe.op.numpyop.univariate
hue_saturation_value
clahe
solarize
to_array
random_shapes
univariate
gaussian_blur
color
random_fog
random_snow
from_float
random_sun_flare
multiplicative_noise
channel_transpose
random_gamma
normalize
onehot
reshape
iso_noise
zoom_blur
rgb_shift
fda
word_to_id
rua
hadamard
equalize
color_jitter
median_blur
defocus
blur
pad_sequence
to_float
expand_dims
random_rain
translate_x
autocontrast
binarize
calibate
invert_img
channel_shuffle
image_compression
translate_y
to_sepia
coarse_dropout
read_image
random_brightness_contrast
minmax
posterize
sharpness
pixel_distribution_adaptation
brightness
gaussian_noise
motion_blur
histogram_matching
shear_y
downscale
to_gray
tokenize
channel_dropout
random_shadow
shear_x
contrast
op
fe.op.tensorop
fe.op.tensorop
fe.op.tensorop.gradient
fe.op.tensorop.gradient
fgsm
gradient
watch
fe.op.tensorop.augmentation
fe.op.tensorop.augmentation
cutmix_batch
mixup_batch
tensorop
gather
permute
fe.op.tensorop.loss
fe.op.tensorop.loss
mean_squared_error
cross_entropy
dice_loss
l1_loss
focal_loss
loss
hinge
l2_regularization
super_loss
normalize
reshape
resize3d
fe.op.tensorop.meta
fe.op.tensorop.meta
one_of
sometimes
repeat
fuse
argmax
fe.op.tensorop.model
fe.op.tensorop.model
update
model
average
un_hadamard
fe.dataset
fe.dataset
op_dataset
dir_dataset
batch_dataset
combined_dataset
pickle_dataset
labeled_dir_dataset
dataset
interleave_dataset
siamese_dir_dataset
csv_dataset
dataloader
numpy_dataset
fe.dataset.data
fe.dataset.data
tednmt
skl_digits
penn_treebank
medmnist
cifair10
svhn_cropped
mendeley
cifar100
usps
wikitext_103
food101
montgomery
mitmovie_ner
em_3d
cifair100
svhn
unnatural_instructions
nih_chestxray
mscoco
shakespeare
cifar10
tiny_imagenet
pascal_voc
breast_cancer
cub200
imdb_review
mnist
horse2zebra
omniglot
generator_dataset
extend_dataset
fe.backend
fe.backend
_check_nan
_ones_like
_convert_tensor_precision
_permute
_save_model
_binary_crossentropy
_reduce_min
_update_model
_exp
_tensor_round
_zeros_like
_roll
_where
_sign
_tensor_sqrt
_reshape
_clip_by_value
_to_type
_iwd
_to_shape
_sparse_categorical_crossentropy
_set_lr
_flip
_load_model
_zscore
_resize3d
_get_gradient
_reduce_sum
_get_lr
_l1_loss
_get_image_dims
_tensor_normalize
_expand_dims
_argmax
_maximum
_lambertw
_categorical_crossentropy
_percentile
_to_tensor
_tensor_pow
_gather_from_batch
_random_normal_like
_abs
_watch
_random_uniform_like
_reduce_max
_hinge
_reduce_std
_concat
_transpose
_smooth_l1_loss
_l2_regularization
_get_shape
_squeeze
_pow
_huber
_dice_score
_matmul
_mean_squared_error
_feed_forward
_gather
_focal_loss
_cast
_reduce_mean
fe.cli
fe.cli
run
plot
logs
train
main
history
fe.xai
fe.xai
saliency
fe.search
fe.search
fe.search.visualize
fe.search.visualize
heatmap
parallel_coordinate_plot
visualize
vis_util
cartesian
grid_search
search
golden_section
fe.architecture
fe.architecture
fe.architecture.tensorflow
fe.architecture.tensorflow
unet
lenet
resnet9
wideresnet
attention_unet
fe.architecture.pytorch
fe.architecture.pytorch
unet
lenet
resnet9
wideresnet
attention_unet
fe.summary
fe.summary
system
summary
fe.summary.logs
fe.summary.logs
log_parse
log_plot
history
vis_util
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