stat:contributions welcome
Status - Contributions welcome
type:feature
Feature requests
good first issue
Good first issue for newcomers.
#
Machine learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Here are 80,988 public repositories matching this topic...
SaulLu
commented
Apr 6, 2022
🚀 Add missing tokenizer test files
Several tokenizers currently have no associated tests. I think that adding the test file for one of these tokenizers could be a very good way to make a first contribution to transformers.
Tokenizers concerned
not yet claimed
none
claimed
- LED @nnlnr
- Flaubert @anmolsjoshi
- Longformer @tgadeliya
- Electra @rajathb
janeyx99
commented
Apr 12, 2022
Followup to pytorch/pytorch#74955 (comment).
It turns out that that cmake version was just bad and we can now unpin cmake once again.
cc @seemethere @malfet @pytorch/pytorch-dev-infra
good first issue
module: ci
Related to continuous integration
triaged
This issue has been looked at a team member, and triaged and prioritized into an appropriate module
Deep Learning for humans
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Updated
May 11, 2022 - Python
47
GaelVaroquaux
commented
Feb 7, 2022
Describe the issue linked to the documentation
Many legitimate notebook style examples have been broken, and specifically by the following PR
scikit-learn/scikit-learn#9061
List of examples to update
Note for maintainers: the content between begin/end_auto_generated is updated automatically by a script. If you edit it by hand your changes may be revert
Easy
Well-defined and straightforward way to resolve
Documentation
good first issue
Easy with clear instructions to resolve
Tesseract Open Source OCR Engine (main repository)
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May 3, 2022 - C++
The world's simplest facial recognition api for Python and the command line
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Apr 3, 2022 - Python
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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Jan 4, 2022 - Jupyter Notebook
Deepfakes Software For All
machine-learning
deep-neural-networks
deep-learning
faceswap
neural-networks
face-swap
deeplearning
neural-nets
deepface
deepfakes
fakeapp
deep-face-swap
openfaceswap
myfakeapp
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May 11, 2022 - Python
complyue
commented
Apr 23, 2022
Seems the following change is reasonable:
- sprint(show_type_name, unwrap_unionall(eltype_X).name), false # Print "Array" rather than "Array{T,N}"
+ sprint(show_type_name, unwrap_unionall(eltype_X).name; context=io), false # Print "Array" rather than "Array{
good first issue
Indicates a good issue for first-time contributors to Julia
display and printing
Aesthetics and correctness of printed representations of objects.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
computer-science
lists
devops
distributed-systems
machine-learning
awesome
web-development
programming
big-data
system
backend
architecture
scalability
resources
design-patterns
interview
awesome-list
interview-practice
interview-questions
system-design
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May 2, 2022
100 Days of ML Coding
python
machine-learning
tutorial
deep-learning
svm
linear-regression
scikit-learn
linear-algebra
machine-learning-algorithms
naive-bayes-classifier
logistic-regression
implementation
support-vector-machines
100-days-of-code-log
100daysofcode
infographics
siraj-raval
siraj-raval-challenge
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Feb 28, 2022
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
python
education
data-science
machine-learning
r
scikit-learn
machine-learning-algorithms
ml
machinelearning
machinelearning-python
scikit-learn-python
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May 11, 2022 - Jupyter Notebook
List of Computer Science courses with video lectures.
programming-language
computer-science
security
machine-learning
bioinformatics
web-development
computer-vision
algorithms
robotics
computer-graphics
databases
stanford-university
embedded-systems
systems
quantum-computing
computer-architecture
computer-scientists
database-systems
harvard-university
iit-delhi
state-university
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May 7, 2022
Caffe: a fast open framework for deep learning.
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Mar 31, 2022 - C++
DeepFaceLab is the leading software for creating deepfakes.
machine-learning
deep-neural-networks
deep-learning
faceswap
neural-networks
face-swap
deeplearning
arxiv
neural-nets
deepface
deepfakes
fakeapp
deep-face-swap
deepfacelab
creating-deepfakes
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May 4, 2022 - Python
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
python
machine-learning
natural-language-processing
computer-vision
deep-learning
book
notebook
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May 11, 2022 - Python
Learn how to responsibly deliver value with ML.
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May 6, 2022 - Jupyter Notebook
YOLOv5
ios
machine-learning
deep-learning
ml
pytorch
yolo
object-detection
coreml
onnx
tflite
yolov3
yolov4
yolov5
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May 11, 2022 - Python
A complete daily plan for studying to become a machine learning engineer.
machine-learning
deep-learning
machine-learning-algorithms
artificial-intelligence
software-engineer
inky-machine-learning
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Apr 23, 2022
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
distributed
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May 4, 2022 - Jupyter Notebook
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
opencv
machine-learning
real-time
caffe
computer-vision
deep-learning
cpp
face
keypoints
human-pose-estimation
pose-estimation
human-behavior-understanding
cvpr-2017
pose
openpose
human-pose
keypoint-detection
multi-person
hand-estimation
foot-estimation
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Apr 14, 2022 - C++
The most cited deep learning papers
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Aug 27, 2020 - TeX
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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May 11, 2022 - Python
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
python
aws
data-science
machine-learning
caffe
theano
big-data
spark
deep-learning
hadoop
tensorflow
numpy
scikit-learn
keras
pandas
kaggle
scipy
matplotlib
mapreduce
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Apr 3, 2022 - Python
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trivialfis
commented
Dec 13, 2020
Currently many more Python projects like dask and optuna are using Python type hints. With the Python package of xgboost gaining more and more features, we should also adopt mypy as a safe guard against some type errors and for better code documentation.
The fastai deep learning library
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May 11, 2022 - Jupyter Notebook
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
data-science
machine-learning
data-mining
deep-learning
genetic-algorithm
deep-reinforcement-learning
machine-learning-from-scratch
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Apr 26, 2022 - Python
- Wikipedia
- Wikipedia
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.