Pinned Repositories
Face_age_gender_emotion
Training on multiple datasets with ''mixed batches'' strategy
gpu_memory_profiling
Profile the GPU memory usage of every line in a Pytorch code
handy_scripts
iFAN
Integrated Face Analytics Network
line_profiler_example
MHPM
setGPU
Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
tf_train_with_generator_in_background_queue
This is an example code to realize the following functions: Train Tensorflow model with feed_dict. The data are generated with a generator. A Queue is used to run the generator in separate threads.
Train_with_mixed_batch_keras
Train a multi-task learning model to estimate age, gender and emotion of an input face
li-js's Repositories
li-js/gpu_memory_profiling
Profile the GPU memory usage of every line in a Pytorch code
li-js/Train_with_mixed_batch_keras
Train a multi-task learning model to estimate age, gender and emotion of an input face
li-js/setGPU
Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
li-js/handy_scripts
li-js/line_profiler_example
li-js/Face_age_gender_emotion
Training on multiple datasets with ''mixed batches'' strategy
li-js/MHPM
li-js/tf_train_with_generator_in_background_queue
This is an example code to realize the following functions: Train Tensorflow model with feed_dict. The data are generated with a generator. A Queue is used to run the generator in separate threads.
li-js/iFAN
Integrated Face Analytics Network
li-js/HAPPEI
li-js/ubuntu_bashrc
This is my .bashrc file for Ubuntu
li-js/Augmentor
Image augmentation library in Python for machine learning.
li-js/CRF-RNN_Tensorflow
Tensorflow implementation of CRF-RNN
li-js/deepgaze
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking.
li-js/docker_gems
li-js/fastSceneUnderstanding
segmentation, instance segmentation and single image depth
li-js/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.
li-js/gpustat
📊 A simple command-line utility for querying and monitoring GPU status
li-js/gtsrb.torch
Traffic sign recognition with Torch
li-js/imgaug
Image augmentation for machine learning experiments.
li-js/Keras_intro
li-js/latex_gist
li-js/line_profiler
Line-by-line profiling for Python
li-js/MHP2_eval
Evaluation for MHP_v2 dataset
li-js/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
li-js/protobuf
Protocol Buffers - Google's data interchange format
li-js/python-progressbar
Text progress bar library for Python
li-js/pytorch-deeplab-resnet
DeepLab resnet model in pytorch
li-js/tensorflow-deeplab-resnet
DeepLab-ResNet rebuilt in TensorFlow
li-js/tensorflow_gems
Some useful scripts when using Tensorflow