sirlps Goto Github PK
Name: SuperFFF
Type: User
Location: Beijing
SuperFFF's Projects
adversarialnetspapers
The classical papers and codes about generative adversarial nets
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
awesome-local-global-descriptor
My personal note about local and global descriptor
awesome-semantic-segmentation
awesome-semantic-segmentation（经典分割网络实现）
deep-image-retrieval
End-to-end learning of deep visual representations for image retrieval
deep-learning-demo
记录小润学习的深度学习相关，首先是 Caffe、TensorFlow、Theano、Keras 框架，之后再补充 Torch
deepctr
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
deeplearningtutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
deeplearningwithpython
UFLDL (Unsupervised Feature Learning and Deep Learning) exercises implemented by Python
densenet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
estimator
TensorFlow Estimator
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
face-hallucination
a simple try to reproduce the paper: Super-Identity Convolutional Neural Network for Face Hallucination
face.evolve.pytorch
🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥
face_shifter
a simple try to reproduce the paper: Faceshifter
fastai
The fast.ai deep learning library, lessons, and tutorials
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
insightface
Face Analysis Project on MXNet
insightface_pytorch
Pytorch0.4.1 codes for InsightFace
keras-gan
Keras implementations of Generative Adversarial Networks.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
llms-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
machinelearning
Basic Machine Learning and Deep Learning
ml-from-scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
nms
the speed of nms
paper-implementations
Use PyTorch to implement some classic frameworks
patch_matching
codes for our iccv19 paper: Better and Faster: Exponential Loss for Image Patch Matching
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