#
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.
Here are 14,312 public repositories matching this topic...
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
jupyter-notebook
ml
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Jun 24, 2022 - Jupyter Notebook
python
nlp
data-science
machine-learning
natural-language-processing
ai
deep-learning
neural-network
text-classification
cython
artificial-intelligence
spacy
named-entity-recognition
neural-networks
nlp-library
tokenization
entity-linking
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Jul 12, 2022 - Python
Roadmap to becoming an Artificial Intelligence Expert in 2022
data-science
machine-learning
roadmap
ai
deep-learning
neural-network
artificial-intelligence
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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neural-network
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yolov4
scaledyolov4
scaled-yolov4
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Jul 8, 2022 - C
Visualizer for neural network, deep learning, and machine learning models
machine-learning
caffe
ai
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mxnet
tensorflow
keras
ml
torch
pytorch
visualizer
machinelearning
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darknet
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caffe2
coreml
onnx
tensorflow-lite
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Jul 12, 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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Jul 4, 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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Jul 12, 2022 - C++
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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Jul 4, 2022 - 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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Updated
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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Updated
Jul 12, 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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neural-network
cv
tutorials
pytorch
awesome-list
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
easy-to-use
convolutional-neural-networks
brain
hacktoberfest
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Jul 8, 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
pdf
machine-learning
good
mit
deep-learning
neural-network
book
machine
linear-algebra
neural-networks
deeplearning
print
excercises
lecture-notes
chapter
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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machine-learning
natural-language-processing
computer-vision
deep-learning
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natural-language
ml
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Jul 12, 2022 - Python
Instant neural graphics primitives: lightning fast NeRF and more
machine-learning
real-time
computer-vision
neural-network
computer-graphics
realtime
cuda
signed-distance-functions
nerf
3d-reconstruction
function-approximation
real-time-rendering
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Jul 11, 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
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
machine-learning
reinforcement-learning
ai
deep-learning
neural-network
statistical-learning
artificial-intelligence
unsupervised-learning
intelligent-systems
machine-intelligence
intelligent-machines
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Jul 11, 2022
Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generate
doesn't work for protobuf directory. So we can't specify GPUOptions forNewSession
.