All Projects → 100 Days Of Ml Code → Similar Projects or Alternatives

7077 Open source projects that are alternatives of or similar to 100 Days Of Ml Code

Imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (-98.85%)
Interspeech2019 Tutorial
INTERSPEECH 2019 Tutorial Materials
Stars: ✭ 160 (-99.05%)
Mutual labels:  jupyter-notebook, tutorial
Rl Tutorial Jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Stars: ✭ 204 (-98.79%)
Mutual labels:  jupyter-notebook, tutorial
Sc17
SuperComputing 2017 Deep Learning Tutorial
Stars: ✭ 211 (-98.74%)
Mutual labels:  jupyter-notebook, tutorial
Scipy con 2019
Tutorial Sessions for SciPy Con 2019
Stars: ✭ 142 (-99.15%)
Mutual labels:  jupyter-notebook, tutorial
Gasyori100knock
image processing codes to understand algorithm
Stars: ✭ 1,988 (-88.16%)
Mutual labels:  jupyter-notebook, tutorial
Dragan
A stable algorithm for GAN training
Stars: ✭ 189 (-98.87%)
Dlsys Course.github.io
Deep learning system course
Stars: ✭ 207 (-98.77%)
Mutual labels:  jupyter-notebook, tutorial
Neural Network From Scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Stars: ✭ 230 (-98.63%)
Mutual labels:  jupyter-notebook, tutorial
Dl tutorial
Tutorials for deep learning
Stars: ✭ 247 (-98.53%)
Mutual labels:  jupyter-notebook, tutorial
sutton-barto-rl-exercises
📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
Stars: ✭ 77 (-99.54%)
Machinelearning
【火炉炼AI】-机器学习系列文章
Stars: ✭ 144 (-99.14%)
Elmo Tutorial
A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
Stars: ✭ 145 (-99.14%)
Mutual labels:  jupyter-notebook, tutorial
Pytorch Question Answering
Important paper implementations for Question Answering using PyTorch
Stars: ✭ 154 (-99.08%)
Mutual labels:  jupyter-notebook, tutorial
Digital video introduction
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
Stars: ✭ 12,184 (-27.46%)
Mutual labels:  jupyter-notebook, tutorial
Astropy Tutorials
Tutorials for the Astropy Project
Stars: ✭ 174 (-98.96%)
Mutual labels:  jupyter-notebook, tutorial
Deeptoxic
top 1% solution to toxic comment classification challenge on Kaggle.
Stars: ✭ 180 (-98.93%)
Mutual labels:  jupyter-notebook, tutorial
Bayesian Modelling In Python
A python tutorial on bayesian modeling techniques (PyMC3)
Stars: ✭ 2,332 (-86.12%)
Mutual labels:  jupyter-notebook, tutorial
Learnpythonforresearch
This repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (-99.03%)
Mutual labels:  jupyter-notebook, tutorial
Dl For Chatbot
Deep Learning / NLP tutorial for Chatbot Developers
Stars: ✭ 221 (-98.68%)
Mutual labels:  jupyter-notebook, tutorial
Tutorial
Tutorial covering Open Source tools for Source Separation.
Stars: ✭ 223 (-98.67%)
Mutual labels:  jupyter-notebook, tutorial
Deeplearningcoursecodes
Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>
Stars: ✭ 241 (-98.57%)
Mutual labels:  jupyter-notebook, tutorial
Datavisualization
Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
Stars: ✭ 234 (-98.61%)
Mutual labels:  jupyter-notebook, tutorial
L2c
Learning to Cluster. A deep clustering strategy.
Stars: ✭ 262 (-98.44%)
Understanding Nn
Tensorflow tutorial for various Deep Neural Network visualization techniques
Stars: ✭ 261 (-98.45%)
Mutual labels:  jupyter-notebook, tutorial
Pytorch Image Classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Stars: ✭ 272 (-98.38%)
Mutual labels:  jupyter-notebook, tutorial
Imageprocessing
MicaSense RedEdge and Altum image processing tutorials
Stars: ✭ 139 (-99.17%)
Mutual labels:  jupyter-notebook, tutorial
Interactive machine learning
IPython widgets, interactive plots, interactive machine learning
Stars: ✭ 140 (-99.17%)
Google2csv
Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file
Stars: ✭ 145 (-99.14%)
Mutual labels:  jupyter-notebook, tutorial
Deeplearningfornlpinpytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Stars: ✭ 1,744 (-89.62%)
Mutual labels:  jupyter-notebook, tutorial
Autonomousdrivingcookbook
Scenarios, tutorials and demos for Autonomous Driving
Stars: ✭ 1,939 (-88.46%)
Mutual labels:  jupyter-notebook, tutorial
Anomaly detection tuto
Anomaly detection tutorial on univariate time series with an auto-encoder
Stars: ✭ 144 (-99.14%)
Mutual labels:  jupyter-notebook, tutorial
Pytorch Lesson Zh
pytorch 包教不包会
Stars: ✭ 279 (-98.34%)
Mutual labels:  jupyter-notebook, tutorial
Reptile Pytorch
A PyTorch implementation of OpenAI's REPTILE algorithm
Stars: ✭ 129 (-99.23%)
Simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Stars: ✭ 2,720 (-83.81%)
Psi4numpy
Combining Psi4 and Numpy for education and development.
Stars: ✭ 170 (-98.99%)
Mutual labels:  jupyter-notebook, tutorial
Gans From Theory To Production
Material for the tutorial: "Deep Diving into GANs: from theory to production"
Stars: ✭ 182 (-98.92%)
Mutual labels:  jupyter-notebook, tutorial
Shape Detection
🟣 Object detection of abstract shapes with neural networks
Stars: ✭ 170 (-98.99%)
Mutual labels:  jupyter-notebook, tutorial
Trump Lies
Tutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (-98.8%)
Mutual labels:  jupyter-notebook, tutorial
Keras deep clustering
How to do Unsupervised Clustering with Keras
Stars: ✭ 202 (-98.8%)
Pydata Chicago2016 Ml Tutorial
Machine learning with scikit-learn tutorial at PyData Chicago 2016
Stars: ✭ 128 (-99.24%)
Mutual labels:  jupyter-notebook, tutorial
50 Days Of Ml
A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
Stars: ✭ 218 (-98.7%)
Mutual labels:  jupyter-notebook, tutorial
How To Read Pytorch
Quick, visual, principled introduction to pytorch code through five colab notebooks.
Stars: ✭ 218 (-98.7%)
Mutual labels:  jupyter-notebook, tutorial
Functional intro to python
[tutorial]A functional, Data Science focused introduction to Python
Stars: ✭ 228 (-98.64%)
Mutual labels:  jupyter-notebook, tutorial
Tensorflow
Deep Learning Zero to All - Tensorflow
Stars: ✭ 216 (-98.71%)
Mutual labels:  jupyter-notebook, tutorial
Pytorch Sentiment Analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (-80.9%)
Mutual labels:  jupyter-notebook, tutorial
Kitti tutorial
Tutorial for using Kitti dataset easily
Stars: ✭ 235 (-98.6%)
Mutual labels:  jupyter-notebook, tutorial
Pytorch Seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (-79.65%)
Mutual labels:  jupyter-notebook, tutorial
Tutorials
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (-98.79%)
Mutual labels:  jupyter-notebook, tutorial
machine-learning-course
Machine Learning Course @ Santa Clara University
Stars: ✭ 17 (-99.9%)
machine-learning
Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course
Stars: ✭ 83 (-99.51%)
Deep Learning Keras Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Stars: ✭ 2,868 (-82.93%)
Mutual labels:  jupyter-notebook, tutorial
machine learning from scratch matlab python
Vectorized Machine Learning in Python 🐍 From Scratch
Stars: ✭ 28 (-99.83%)
Generative models tutorial with demo
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Stars: ✭ 276 (-98.36%)
Mutual labels:  jupyter-notebook, tutorial
Sfmlearner
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Stars: ✭ 1,661 (-90.11%)
Learn jupyter
This is a jupyter practical tutorial. Welcome to edit together!
Stars: ✭ 123 (-99.27%)
Mutual labels:  jupyter-notebook, tutorial
Pytorch Byol
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Stars: ✭ 213 (-98.73%)
ml-ai
ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions
Stars: ✭ 32 (-99.81%)
Generative Adversarial Networks
Tutorial on GANs
Stars: ✭ 275 (-98.36%)
Mutual labels:  jupyter-notebook, tutorial
1-60 of 7077 similar projects