rmlowe / practical-deep-learning-with-pytorch

Related projects ⓘ

Alternatives and complementary repositories for practical-deep-learning-with-pytorch

• PacktPublishing / Mastering-PyTorch-for-Deep-Learning
  Mastering PyTorch for Deep Learning, Published by Packt
  ☆14Updated 3 years ago
• thismlguy / easyML
  A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
  ☆17Updated 5 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 7 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 8 years ago
• llSourcell / Dimensionality_Reduction
  This is the Code for "Dimensionality Reduction - The Math of Intelligence #5" By Siraj Raval on Youtube
  ☆49Updated 7 years ago
• raviolli77 / machineLearning_breastCancer_Python
  Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn
  ☆33Updated last year
• ml6973 / Course
  ☆22Updated 6 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆26Updated 8 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 6 years ago
• brienna / BIOF509
  Machine Learning and Object Oriented Programming with Python, a FAES course at the National Institutes of Health
  ☆19Updated 8 years ago
• nsanghi / bayesian-methods-for-ml
  My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)
  ☆27Updated 6 years ago
• llSourcell / genetic_algorithm_challenge
  Genetic Algorithm Challenge by @Sirajology on Youtube
  ☆30Updated 5 years ago
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 5 years ago
• PacktPublishing / Learning-Generative-Adversarial-Networks
  Learning-Generative-Adversarial-Networks, published by Packt
  ☆35Updated last year
• anki1909 / Recruit-Restaurant-Visitor-Forecasting
  6th place solution for Recruit-Restaurant-Visitor-Forecasting
  ☆17Updated 6 years ago
• beamandrew / BNN
  Bayesian Neural Networks
  ☆42Updated 9 years ago
• aayushmnit / Data-science-presentation
  Collection of presentation of my work on various platforms and meetups
  ☆22Updated 5 years ago
• jcatanza / Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group
  Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ip…
  ☆26Updated 4 years ago
• mikiobraun / ml4tsa
  Supplementary Material for Machine Learning for Time Series Analysis
  ☆19Updated 6 years ago
• mlberkeley / Deep-Learning-Decal-Fall-2017
  ☆26Updated 7 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated last year
• hjian42 / Natural-Language-Processing-Nanodegree
  Natural Language Processing Nanodegree from Udacity Platform, in which I implement Hidden Markov Model for POS Tagger, Bidirectional LSTM…
  ☆20Updated 6 years ago
• philipperemy / advanced-deep-learning-keras
  File repository for the course [Advanced Deep Learning with Keras]. Packt Publishing.
  ☆27Updated 6 years ago
• changwookjun / CS20
  CS20 (Tensorflow) 정리
  ☆12Updated 6 years ago
• llSourcell / DeepMind-alphafold-repl
  https://moalquraishi.wordpress.com/2018/12/09/alphafold-casp13-what-just-happened/
  ☆50Updated 5 years ago
• tuanavu / Stanford-CS231
  CS231n: Convolutional Neural Networks for Visual Recognition
  ☆12Updated 6 years ago
• danielmachinelearning / SentimentAnalysis_CNN_RNN
  An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. Fi…
  ☆23Updated 7 years ago
• PacktPublishing / Hands-On-Transfer-Learning-with-Python
  Hands On Transfer Learning with Python, published by Packt
  ☆81Updated last year
• Spandan-Madan / lectures_and_talks
  Collection of lectures and talks I've given on Computer Vision and Deep Learning
  ☆28Updated 6 years ago