🇬🇧 Made in United Kingdom
Discover United Kingdom's Leading Open Source Projects: Explore top-notch open source initiatives hailing from the vibrant tech community of United Kingdom.
TOP Jupyter Notebook Projects
Stability-AI/StableLM
StableLM: Stability AI Language Models
iamtrask/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
firmai/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
bentrevett/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
robertmartin8/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
collabora/WhisperSpeech
An Open Source text-to-speech system built by inverting Whisper.
leriomaggio/deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
wowchemy/starter-hugo-academic
🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo and GitHub.
Stability-AI/stability-sdk
SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
ajcr/100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
PacktPublishing/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
AppliedDataSciencePartners/DeepReinforcementLearning
A replica of the AlphaZero methodology for deep reinforcement learning in Python
gerdm/prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
eddwebster/football_analytics
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
ilkarman/DeepLearningFrameworks
Demo of running NNs across different frameworks
benyaminahmed/nft-image-generator
enggen/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
jadianes/spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
TheEconomist/big-mac-data
Data and methodology for the Big Mac index
firmai/machine-learning-asset-management
Machine Learning in Asset Management (by @firmai)
davidADSP/GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
neomatrix369/awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
firmai/awesome-google-colab
Google Colaboratory Notebooks and Repositories (by @firmai)
PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
babylonhealth/fastText_multilingual
Multilingual word vectors in 78 languages
PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
PacktPublishing/Deep-Learning-with-Keras
Code repository for Deep Learning with Keras published by Packt
yu-takagi/StableDiffusionReconstruction
Takagi and Nishimoto, CVPR 2023
PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
serengil/tensorflow-101
TensorFlow 101: Introduction to Deep Learning
bentrevett/pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
quantumiracle/Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
jadianes/spark-movie-lens
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
davidADSP/Generative_Deep_Learning_2nd_Edition
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
firmai/business-machine-learning
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)
PacktPublishing/Python-for-Finance-Cookbook
Python for Finance Cookbook, published by Packt
OATML/bdl-benchmarks
Bayesian Deep Learning Benchmarks
PacktPublishing/Hands-on-Exploratory-Data-Analysis-with-Python
Hands-on Exploratory Data Analysis with Python, published by Packt
teticio/audio-diffusion
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
PacktPublishing/Pandas-Cookbook
Pandas Cookbook, published by Packt
TrainingByPackt/Data-Science-Projects-with-Python
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
PacktPublishing/Modern-Computer-Vision-with-PyTorch
Modern Computer Vision with PyTorch, published by Packt
jadianes/data-science-your-way
Ways of doing Data Science Engineering and Machine Learning in R and Python
mwouts/itables
Pandas DataFrames as Interactive DataTables
PacktPublishing/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
smartgeometry-ucl/dl4g
Example code for the Siggraph Asia Tutorial CreativeAI
pedropro/TACO
🌮 Trash Annotations in Context Dataset Toolkit
mattmurray/music_recommender
Music recommender using deep learning with Keras and TensorFlow
PacktPublishing/Transformers-for-Natural-Language-Processing
Transformers for Natural Language Processing, published by Packt
ianozsvald/data_science_delivered
Observations from Ian on successfully delivering data science products
SimonKohl/probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
HenriquesLab/ZeroCostDL4Mic
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
PacktPublishing/Hands-On-Graph-Neural-Networks-Using-Python
Hands-On Graph Neural Networks Using Python, published by Packt
d4nst/RotNet
firmai/deltapy
DeltaPy - Tabular Data Augmentation (by @firmai)
PacktPublishing/Python-Machine-Learning-Second-Edition
Python Machine Learning - Second Edition, published by Packt
PacktPublishing/Python-Feature-Engineering-Cookbook
Python Feature Engineering Cookbook, published by Packt
filangelos/qtrader
Reinforcement Learning for Portfolio Management
EricWebsmith/china_job_survey
stats of Chinese developers. 统计中国程序员的就业情况
mstampfer/Coursera-Stanford-ML-Python
Coursera/Stanford Machine Learning course assignments in python
PacktPublishing/Deep-Learning-with-PyTorch
Deep Learning with PyTorch, published by Packt
jessicayung/self-driving-car-nd
Udacity's Self-Driving Car Nanodegree project files and notes.
PacktPublishing/Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
maciejkula/triplet_recommendations_keras
An example of doing MovieLens recommendations using triplet loss in Keras
sdiehl/numpile
A tiny 1000 line LLVM-based numeric specializer for scientific Python code.
JordiCorbilla/stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
maitbayev/the-elements-of-statistical-learning
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
PacktPublishing/Mastering-Python-for-Finance-Second-Edition
Mastering Python for Finance – Second Edition, published by Packt
TheEconomist/graphic-detail-data
Data and code behind the Economist's Graphic Detail section.
yihong-chen/neural-collaborative-filtering
pytorch version of neural collaborative filtering
atomic14/diy-alexa
DIY Alexa
lin-shuyu/VAE-LSTM-for-anomaly-detection
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
firmai/python-business-analytics
Python solutions to solve practical business problems.
PacktPublishing/Hands-On-Computer-Vision-with-TensorFlow-2
Hands-On Computer Vision with TensorFlow 2, published by Packt
MachineLearnia/Python-Machine-Learning
Tous les codes utilisés dans la série YouTube Python Spécial Machine Learning !
ianozsvald/ipython_memory_usage
IPython tool to report memory usage deltas for every command you type
hnarayanan/artistic-style-transfer
Convolutional neural networks for artistic style transfer.
PacktPublishing/Python-Machine-Learning-Blueprints
Code repository for Python Machine Learning Blueprints, published by Packt
jbornschein/draw
Reimplementation of DRAW
PacktPublishing/Practical-Time-Series-Analysis
Practical Time-Series Analysis, published by Packt
cardiffnlp/tweeteval
Repository for TweetEval
jbarrasa/goingmeta
code and resources used in the Going Meta sessions
PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python
PacktPublishing/Machine-Learning-for-Finance
Machine Learning for Finance, published by Packt
iosband/ts_tutorial
ecs-vlc/FMix
Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'
peterroelants/peterroelants.github.io
Blog
PacktPublishing/Python-Algorithmic-Trading-Cookbook
Python Algorithmic Trading Cookbook, published by Packt
CQCL/pytket-docs
User manual and example notebooks for the pytket quantum SDK
PacktPublishing/Python-Artificial-Intelligence-Projects-for-Beginners
Python Artificial Intelligence Projects for Beginners, published by Packt
v-iashin/SpecVQGAN
Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)
kipgparker/soft-prompt-tuning
PacktPublishing/Modern-Time-Series-Forecasting-with-Python
Modern Time Series Forecasting with Python, published by Packt
MohamadZeina/Disco_Diffusion_Local
Getting the latest versions of Disco Diffusion to work locally, instead of colab. Including how I run this on Windows, despite some Linux only dependencies ;)
mmalekzadeh/motion-sense
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
benman1/generative_ai_with_langchain
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
ARM-software/mango
Parallel Hyperparameter Tuning in Python
PacktPublishing/Learning-PySpark
Code repository for Learning PySpark by Packt