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 81,468 public repositories matching this topic...
Model description
I would like to add a new model:
Proposed in the paper: UNETR: Transformers for 3D Medical Image Segmentation
UNEt TRansformers (UNETR) utilize a transformer as the encoder to learn sequence representations of the input volume and effectively capture the global multi-scale information, while also following the successful "U-shaped"
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
Deep Learning for humans
-
Updated
May 21, 2022 - Python
Background / Objective
Docstrings in Python are string literals that occur as the first statement in a module, function, class, or method definition.
These are some of the characteristics of a docstring:
- Triple quotes are used to encompass the docstring text.
- There is no blank line before or after the docstring.
Tesseract Open Source OCR Engine (main repository)
-
Updated
May 16, 2022 - C++
The world's simplest facial recognition api for Python and the command line
-
Updated
Apr 3, 2022 - Python
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
-
Updated
Jan 4, 2022 - Jupyter Notebook
Deepfakes Software For All
-
Updated
May 21, 2022 - Python
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
-
Updated
May 2, 2022
100 Days of ML Coding
-
Updated
Feb 28, 2022
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
-
Updated
May 13, 2022 - Jupyter Notebook
List of Computer Science courses with video lectures.
-
Updated
May 16, 2022
DeepFaceLab is the leading software for creating deepfakes.
-
Updated
May 23, 2022 - Python
Caffe: a fast open framework for deep learning.
-
Updated
Mar 31, 2022 - 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55个国家的300所大学用于教学。
-
Updated
May 21, 2022 - Python
Learn how to responsibly deliver value with ML.
-
Updated
May 13, 2022 - Jupyter Notebook
YOLOv5
-
Updated
May 23, 2022 - Python
A complete daily plan for studying to become a machine learning engineer.
-
Updated
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.
-
Updated
May 4, 2022 - Jupyter Notebook
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
-
Updated
May 17, 2022 - C++
The most cited deep learning papers
-
Updated
Aug 27, 2020 - TeX
-
Updated
May 20, 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.
-
Updated
Apr 3, 2022 - Python
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
-
Updated
May 22, 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.
-
Updated
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.