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MaximeVandegar/Papers-in-100-Lines-of-Code

Implementation of papers in 100 lines of code

2.6K
Active
Python
AI Editors/Agents/Copilot
Python
#GANS#Generative Models#Diffusion-Models

enpeizhao/CVprojects

A collection of computer vision and AI projects in Python, C++, and embedded systems for developers.

2.6K
Stable
Jupyter Notebook
Computer Vision
Backend Frameworks
Python
#computer-vision#deep-learning#embedded-systems

quic/aimet

AIMET is an open-source library for advanced quantization and compression techniques in trained neural network models.

2.6K
Active
Python
React
#quantization#compression#neural-networks

gerdm/prml

A collection of Jupyter notebooks with Python code and notes for the book Pattern Recognition and Machine Learning.

2.6K
Archived
Jupyter Notebook
Machine Learning
Tutorials & Courses
#machine-learning#pattern-recognition#bayesian-statistics

apachecn/fe4ml-zh

A book on feature engineering for machine learning, written in Python and JavaScript.

2.6K
Archived
JavaScript
Machine Learning Ops
Books & Guides
Python
#machine-learning#feature-engineering#python

jolibrain/deepdetect

A C++ API and server for deep learning that supports popular frameworks like PyTorch, TensorFlow, and XGBoost.

2.5K
Active
C++
Computer Vision
API Clients & Testing
#deep-learning#computer-vision#object-detection

KimMeen/Time-LLM

An official implementation of a time series forecasting model using large language models.

2.5K
Stable
Python
LLM Frameworks
Time Series
Python
#time-series-forecasting#large-language-models#deep-learning

dmlc/gluon-nlp

An easy-to-use natural language processing library built on the Gluon deep learning framework.

2.5K
Archived
Python
LLM Frameworks
ML Ops
MXNet
#natural-language-processing#deep-learning#machine-learning

plexe-ai/plexe

An AI-powered platform for building machine learning models from natural language prompts.

2.5K
Stable
Python
LLM Frameworks
Agents & Orchestration
Python
#machine-learning#prompt-engineering#agentic-ai

virginiakm1988/ML2022-Spring

Official repository for Professor Hung-yi Lee's Machine Learning course in Spring 2022.

2.5K
Archived
Jupyter Notebook
LLM Frameworks
Tutorials & Courses
#machine-learning#deep-learning#academic

qxresearch/qxresearch-event-1

Python tutorial with a hands-on project for building an AI application

2.5K
Archived
Python
AI Code Generation
React
#python-tutorial#ai-project#machine-learning

dblalock/bolt

A fast C++ library for high-performance matrix and vector operations.

2.5K
Archived
C++
Data Mining
Machine Learning
#compression#data-mining#machine-learning

zzh8829/yolov3-tf2

YoloV3 object detection implemented in TensorFlow 2.0

2.5K
Archived
Jupyter Notebook
Neural Network
TensorFlow
#object-detection#tensorflow#yolov3

TradeMaster-NTU/TradeMaster

An open-source quantitative trading platform powered by reinforcement learning for finance and fintech developers.

2.5K
Experimental
Jupyter Notebook
Reinforcement Learning
API Frameworks
Jupyter Notebook
#finance#fintech#investment-strategies

aleju/papers

A collection of summaries for machine learning research papers, useful for developers interested in AI and deep learning.

2.5K
Archived
ML Ops
Tutorials & Courses
#machine-learning#deep-learning#research-papers

GoogleCloudPlatform/asl-ml-immersion

Google Cloud Platform's Advanced Solutions Lab: ML Immersion provides AI-powered machine learning notebooks.

2.5K
Active
Jupyter Notebook
TensorFlow
#machine-learning#google-cloud-platform#tensorflow

NVIDIA/physicsnemo

An open-source deep learning framework for building, training, and fine-tuning models using physics-ML methods.

2.5K
Active
Python
ML Ops
AI SDKs & Wrappers
PyTorch
#deep-learning#machine-learning#physics

curiousily/Getting-Things-Done-with-Pytorch

A collection of Jupyter Notebook tutorials on solving real-world problems with machine learning and deep learning using PyTorch.

2.5K
Archived
Jupyter Notebook
Computer Vision
Time Series Forecasting
#computer-vision#time-series#anomaly-detection

hardikkamboj/An-Introduction-to-Statistical-Learning

This repository provides Python implementations of exercises from the book 'An Introduction to Statistical Learning'.

2.5K
Archived
Jupyter Notebook
Data Science
Machine Learning
Python
#data-science#machine-learning#statistical-learning

sthalles/SimCLR

PyTorch implementation of SimCLR, a simple framework for contrastive learning of visual representations.

2.5K
Archived
Jupyter Notebook
Representation Learning
Computer Vision
PyTorch
#contrastive-loss#deep-learning#machine-learning
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