#
Neural Network
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
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stat:contributions welcome
Status - Contributions welcome
type:feature
Feature requests
good first issue
Good first issue for newcomers.
kumpera
commented
Jun 13, 2022
🚀 The feature, motivation and pitch
The current implementation of Zero Redundancy optimizer has its own implementation of object broadcasting.
We should replace it with c10d [broadcast_object_list](https://pytorch.org/docs/stable/distributed.html#torch.distributed.broadcast_object_lis
oncall: distributed
Add this issue/PR to distributed oncall triage queue
module: bootcamp
We plan to do a full writeup on the issue, and then get someone to do it for onboarding
good first issue
triaged
This issue has been looked at a team member, and triaged and prioritized into an appropriate module
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
python
machine-learning
deep-learning
neural-network
tensorflow
scikit-learn
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May 4, 2022 - Jupyter Notebook
python
nlp
data-science
machine-learning
natural-language-processing
ai
deep-learning
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text-classification
cython
artificial-intelligence
spacy
named-entity-recognition
neural-networks
nlp-library
tokenization
entity-linking
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Jun 20, 2022 - Python
Roadmap to becoming an Artificial Intelligence Expert in 2022
data-science
machine-learning
roadmap
ai
deep-learning
neural-network
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data-analysis
study-plan
ai-roadmap
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Feb 10, 2022 - JavaScript
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
deep-neural-networks
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Jun 17, 2022 - C
Visualizer for neural network, deep learning, and machine learning models
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caffe
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tensorflow
keras
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torch
pytorch
visualizer
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coreml
onnx
tensorflow-lite
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Jun 19, 2022 - JavaScript
A curated list of awesome Deep Learning tutorials, projects and communities.
machine-learning
awesome
deep-learning
neural-network
recurrent-networks
synthetic-images
awesome-list
deep-learning-tutorial
deep-networks
face-images
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Jun 11, 2022
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
python
machine-learning
deep-learning
neural-network
scalability
efficiency
paddlepaddle
distributed-training
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Jun 20, 2022 - Python
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
python
java
c-sharp
c-plus-plus
machine-learning
deep-neural-networks
deep-learning
neural-network
cntk
distributed
highlight
cognitive-toolkit
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Aug 27, 2021 - C++
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
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Mar 25, 2022 - Jupyter Notebook
davidsoergel
commented
Feb 13, 2019
fitDataset() expects a Dataset that produces elements of a certain shape, with matching batch sizes etc., and throws errors (from standardizeDataIteratorOutput()) when the conditions are not met. These errors should be tested.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
android
ios
caffe
deep-learning
neural-network
mxnet
tensorflow
vulkan
keras
inference
pytorch
artificial-intelligence
simd
riscv
darknet
arm-neon
high-preformance
ncnn
onnx
mlir
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Jun 20, 2022 - C++
mpenkov
commented
Jun 22, 2021
In gensim/models/fasttext.py:
model = FastText(
vector_size=m.dim,
vector_size=m.dim,
window=m.ws,
window=m.ws,
epochs=m.epoch,
epochs=m.epoch,
negative=m.neg,
negative=m.neg,
# FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
# or model=3 supervi
bug
Issue described a bug
difficulty easy
Easy issue: required small fix
good first issue
Issue for new contributors (not required gensim understanding + very simple)
fasttext
Issues related to the FastText model
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
python
nlp
data-science
machine-learning
natural-language-processing
awesome
facebook
computer-vision
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cv
tutorials
pytorch
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utility-library
probabilistic-programming
papers
nlp-library
pytorch-tutorials
pytorch-model
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Apr 28, 2022
justinchuby
commented
Jun 15, 2022
We should sort imports with isort to keep the import section clean
nodejs
api
node
browser
web
stream
neural-network
recurrent-neural-networks
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convolutional-neural-networks
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hacktoberfest
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May 7, 2022 - TypeScript
machine learning and deep learning tutorials, articles and other resources
list
machine-learning
awesome
deep-neural-networks
deep-learning
neural-network
neural-networks
awesome-list
machinelearning
deeplearning
deep-learning-tutorial
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May 2, 2022
shenoynikhil
commented
Jun 3, 2022
The "Python Machine Learning (1st edition)" book code repository and info resource
python
data-science
machine-learning
data-mining
neural-network
scikit-learn
machine-learning-algorithms
logistic-regression
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Jul 30, 2021 - Jupyter Notebook
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
learning
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machine-learning
good
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neural-network
book
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clear
thinking
printable
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Jan 16, 2021 - Java
机器学习相关教程
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Dec 22, 2020 - Python
Deep learning library featuring a higher-level API for TensorFlow.
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Jan 25, 2021 - Python
TensorFlow Tutorials with YouTube Videos
machine-learning
youtube
tutorial
reinforcement-learning
deep-learning
neural-network
tensorflow
python-notebook
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Jan 15, 2021 - Jupyter Notebook
TensorFlow tutorials and best practices.
machine-learning
ops
deep-learning
neural-network
tensorflow
gpu
shape
ebook
loop
control-flow
gradient
python-ops
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Oct 22, 2020
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
javascript
webgl
machine-learning
typescript
deep-neural-networks
deep-learning
neural-network
gpu-acceleration
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Aug 14, 2019 - TypeScript
Data-centric declarative deep learning framework
python
learning
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natural-language-processing
computer-vision
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natural-language
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Jun 20, 2022 - Python
Instant neural graphics primitives: lightning fast NeRF and more
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neural-network
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realtime
cuda
signed-distance-functions
nerf
3d-reconstruction
function-approximation
real-time-rendering
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Jun 20, 2022 - Cuda
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
python
google
reinforcement-learning
deep-learning
neural-network
tensorflow
chatbot
artificial-intelligence
gan
dqn
imagenet
tensorflow-tutorials
object-detection
a3c
tensorlayer
tensorflow-tutorial
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Apr 23, 2022 - Python
Build your neural network easy and fast, 莫烦Python中文教学
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machine-learning
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dropout
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gan
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dqn
classification
rnn
autoencoder
pytorch-tutorial
pytorch-tutorials
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May 16, 2022 - Jupyter Notebook
Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generatedoesn't work for protobuf directory. So we can't specify GPUOptions forNewSession.