AzizCode92's Stars
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
JaeYeopHan/Interview_Question_for_Beginner
:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
jina-ai/clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
mravanelli/pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Alexander-H-Liu/End-to-end-ASR-Pytorch
This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.
thunlp/RCPapers
Must-read papers on Machine Reading Comprehension
chinakook/Awesome-MXNet
A curated list of MXNet examples, tutorials and blogs.
tmulc18/Distributed-TensorFlow-Guide
Distributed TensorFlow basics and examples of training algorithms
tensorflow/custom-op
Guide for building custom op for TensorFlow
j-w-yun/optimizer-visualization
Visualize Tensorflow's optimizers.
hirofumi0810/tensorflow_end2end_speech_recognition
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
dannyneil/public_plstm
Phased LSTM
Createdd/Writing
📚📝 Notes on the journey
h2oai/deepwater
Deep Learning in H2O using Native GPU Backends
qxf2/wtfiswronghere
A collection of simple errors that beginners are likely to hit when they start writing Python.
wenwei202/terngrad
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
dalab/hyperbolic_nn
Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
HiKapok/tf.extra_losses
Large-Margin Softmax Loss, Angular Softmax Loss, Additive Margin Softmax, ArcFaceLoss And FocalLoss In Tensorflow
tmulc18/DistributedDeepLearningReads
Papers and blogs related to distributed deep learning
luochuwei/Custom-Optimizer-in-TensorFlow
Custom Optimizer in TensorFlow(定义你自己的Tensorflow Optimizer)
sdhayalk/TensorFlow_Speech_Recognition_Challenge
Implemented 3 neural network architectures: 1) Combination of RNN LSTM nodes and CNN, 2) CNN with residual blocks similar to ResNet, 3) Deep RNN LSTM network; and compared their performance to detect 12 speech commands.
kwonmha/Relational-Recurrent-Neural-Networks
Tensorflow implementation of Relational Recurrent Neural Networks
edchengg/TIMIT_Data_Processing
morelen17/revised-gru
Tensorflow implementation of Revised GRU (Mrelu-GRU)
SunnyMarkLiu/paper-notes-monthly
Record intensive reading articles and papers monthly.
chiawen/MLDS2017_final
PatrykChrabaszcz/Papers