Pinned Repositories
AFN
(ICCV'19 Oral) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
alpa
Auto parallelization for large-scale neural networks
awesome-jax
JAX - A curated list of resources https://github.com/google/jax
awesome-very-deep-learning
A curated list of papers and code about very deep neural networks
caffe
Caffe: a fast open framework for deep learning.
caffe-augmentation
caffe-model
Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext
caffe-train
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
tensorflow-alpa
silencelamb's Repositories
silencelamb/alpa
Auto parallelization for large-scale neural networks
silencelamb/tensorflow-alpa
silencelamb/AFN
(ICCV'19 Oral) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
silencelamb/awesome-jax
JAX - A curated list of resources https://github.com/google/jax
silencelamb/awesome-very-deep-learning
A curated list of papers and code about very deep neural networks
silencelamb/caffe
Caffe: a fast open framework for deep learning.
silencelamb/caffe-augmentation
silencelamb/caffe-model
Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext
silencelamb/caffe-train
silencelamb/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
silencelamb/deep-residual-networks
Deep Residual Learning for Image Recognition
silencelamb/deepdetect
Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE
silencelamb/DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
silencelamb/Face-landmarks-detection-benchmark
Face landmarks(fiducial points) detection benchmark
silencelamb/google_inception_v3_for_caffe
Google Inception (deepdream) v3 for Caffe
silencelamb/imgaug
Image augmentation for machine learning experiments.
silencelamb/ISPD_2020
Code for the International Symposium of Physical Design (ISPD) 2020 Contest Objective is to provide heuristic solutions for Cerebras' Wafer Scale Engine (WSE)
silencelamb/Neural-Networks-on-Silicon
This is a list of works on neural networks and neural accelerators.
silencelamb/scikit-learn
scikit-learn: machine learning in Python
silencelamb/ShuffleNet
This is a fast caffe implementation of ShuffleNet.
silencelamb/silence09.github.io
my blog
silencelamb/Super-Resolution.Benckmark
Benchmark and resources for single super-resolution algorithms
silencelamb/xla
A machine learning compiler for GPUs, CPUs, and ML accelerators