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deplench's Projects
adv_fin_ml_exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
adventures-in-ml-code
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
adversarialnetspapers
The classical paper list with code about generative adversarial nets
ai-job-notes
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）
asms
Scale adaptive mean-shift tracker
auto-pytorch
Automatic architecture search and hyperparameter optimization for PyTorch
awesome-deep-learning-papers
The most cited deep learning papers
awesome-image-denoising-state-of-the-art
awesome image and video denoising, state of the art networks
awesome-knowledge-distillation
Awesome Knowledge Distillation
awesome-paper-list
A curated list of repositories in which many NLP/CV/ML papers and related area resources are collected.
awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
awesome-quant
**的Quant相关资源索引
awesome-quant-machine-learning-trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
awesome-torch
A curated list of awesome Torch tutorials, projects and communities
awsome-domain-adaptation
A collection of AWESOME things about domian adaptation
bayesian_neural_network_papers
Papers for Bayesian-NN
beakerx
Beaker Extensions for Jupyter Notebook
benchmark_results
visual tracker benchmark results
bert4keras
light reimplement of bert for keras
caffe
Caffe for Sparse and Low-rank Deep Neural Networks
caffe-1
This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors
ceres-solver
A large scale non-linear optimization library
competition-baseline
数据科学竞赛各种baseline代码、思路分享
conference-school-notes
Collected Conference & Summer School Notes
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
cvpr-2019-paper-statistics
Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
cvpr2019
cvpr2019 papers
david-silver-reinforcement-learning
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
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