silencelamb Goto Github PK

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)

deep-residual-networks

Deep Residual Learning for Image Recognition

deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE

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.

face-landmarks-detection-benchmark

Face landmarks(fiducial points) detection benchmark

google_inception_v3_for_caffe

Google Inception (deepdream) v3 for Caffe

imgaug

Image augmentation for machine learning experiments.

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)

naked_llama

build llama inference compute from scrath, only using torch/numpy base ops

neural-networks-on-silicon

This is a list of works on neural networks and neural accelerators.

scikit-learn

scikit-learn: machine learning in Python

shufflenet

This is a fast caffe implementation of ShuffleNet.

silence09.github.io

my blog

super-resolution.benckmark

Benchmark and resources for single super-resolution algorithms

tensorflow-alpa

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

triton-learning

xla

A machine learning compiler for GPUs, CPUs, and ML accelerators