Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
- data-science
- python
- data
- data-visualization
Repository Index
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Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
- machine-learning
- prml
- bayesian-statistics
- python
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
- coding-interviews
- deep-learning
- from-scratch
- interview-preparation
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
- google-cloud-platform
- machine-learning
- tensorflow
- adk
A collection of IPython notebooks covering various topics.
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
- background-removal
- deep-learning
- dichotomous-image-segmentation
- computer-vision
TensorFlow Tutorials
- tensorflow-tutorials
- convolutional-neural-networks
- recurrent-neural-networks
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
- ai
- chromadb
- cookbooks
- faiss
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
- mathematics
- linear-algebra
- python
- jupyter
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
Simplified implementations of deep learning related works
Benchmarking Knowledge Transfer in Lifelong Robot Learning
- benchmark
- imitation-learning
- lifelong-learning
- manipulation
An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.
- teaching
- computer-science
- compiler
- emulator
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
YoloV3 Implemented in Tensorflow 2.0
- tensorflow
- tf2
- yolo
- yolov3
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
- datascience
- machine-learning
- statistical-learning
- python
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
MTCNN face detection implementation for TensorFlow, as a PIP package.
- mtcnn
- face
- detection
- tensorflow
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
- machine-learning
- deep-learning
- representation-learning
- pytorch-implementation
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
- milvus
- unstructured-data
- image-search
- audio-search
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.