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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 53,161 public repositories matching this topic...
gabrieldemarmiesse
commented
Feb 6, 2019
kurtamohler
commented
Nov 13, 2020
🐛 Bug
As discussed here, calling kthvalue like torch.kthvalue(a, k, out=(a, indices)) produces a buffer overflow. Natalia suggested disallowing outputs that overlap with the input.
bthirion
commented
Dec 3, 2020
Describe the bug
In grid_to_graph, you expect the vertices to correspond to the implicit order defined by the mask. This is not always the case, due to the occurrence of isolated vertices that are dismissed in the reindexing of the vertices.
Steps/Code to Reproduce
import numpy as np
from sklearn.feature_extraction import grid_to_graph
mask = np.zeros((2, 3)).astTensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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Dec 5, 2020 - Jupyter Notebook
Tesseract Open Source OCR Engine (main repository)
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Dec 8, 2020 - C++
The world's simplest facial recognition api for Python and the command line
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Nov 26, 2020 - Python
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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Dec 8, 2020 - Python
Caffe: a fast open framework for deep learning.
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Nov 22, 2020 - C++
Open
Should lpad/rpad be defined in terms of textwidth instead of code units or have the option to do so?
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KristofferC
commented
Nov 1, 2020
One of the main use cases of lpad and rpad is, at least for me personally, to align things in the terminal. However, lpad and rpad are defined (and documented) to work in terms of code units (i.e. they call length on the input string) which means that when length and textwidth disagree, you get unaligned output:
julia> s1 = "⟨k|H₁|k̃⟩"
"⟨k|H₁|k̃⟩"
julia> s2 = "⟨k|H₁|k⟩"
"⟨
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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Nov 28, 2020
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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Dec 3, 2020
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Nov 16, 2020 - Jupyter Notebook
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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Dec 2, 2020
The most cited deep learning papers
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Aug 27, 2020 - TeX
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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Nov 29, 2020 - Jupyter Notebook
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hcho3
commented
Sep 30, 2020
Currently, the C++ compiler generates lots of warnings: https://xgboost-ci.net/blue/organizations/jenkins/xgboost/detail/master/516/pipeline/61. It would be great to reduce the number of warnings.
Note to new contributors: Post a comment here if you'd like to work on this issue. Feel free to ping me for help.
The fastai deep learning library, plus lessons and tutorials
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Dec 11, 2020 - Jupyter Notebook
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
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machine-learning
caffe
theano
big-data
spark
deep-learning
hadoop
tensorflow
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scikit-learn
keras
pandas
kaggle
scipy
matplotlib
mapreduce
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Oct 1, 2020 - Python
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
opencv
machine-learning
multi-threading
real-time
caffe
computer-vision
deep-learning
cpp
cpp11
human-pose-estimation
human-behavior-understanding
cvpr-2017
openpose
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Dec 7, 2020 - C++
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球140所大学采用教学。
python
machine-learning
natural-language-processing
computer-vision
deep-learning
book
notebook
chinese
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Dec 8, 2020 - Python
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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Nov 7, 2020 - Python
python
nlp
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big-data
ai
deep-learning
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cython
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neural-networks
nlp-library
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Dec 11, 2020 - Python
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
machine-learning
natural-language-processing
machine-translation
dialogue
named-entity-recognition
nlp-tasks
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Dec 7, 2020 - Python
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
python
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cntk
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Sep 8, 2020 - C++
A curated list of awesome Deep Learning tutorials, projects and communities.
machine-learning
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deep-learning
neural-network
recurrent-networks
synthetic-images
awesome-list
deep-learning-tutorial
deep-networks
face-images
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Dec 8, 2020
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
machine-learning
embedded
deep-learning
offline
tensorflow
speech-recognition
neural-networks
speech-to-text
deepspeech
on-device
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Dec 10, 2020 - C++
100-Days-Of-ML-Code中文版
python
machine-learning
tutorial
deep-learning
tensorflow
keras
jupyter-notebook
supervised-learning
unsupervised-learning
chinese-simplified
infographics
100-days-of-ml-code
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Feb 18, 2020 - Jupyter Notebook
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
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Oct 27, 2020
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