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π Awesome lists about all kinds of interesting topics
A curated list of awesome Machine Learning frameworks, libraries and software.
π A list of practical projects that anyone can solve in any programming language.
TensorFlow code and pre-trained models for BERT
Build multi-agent systems that learn and improve with every interaction.
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
π« Industrial-strength Natural Language Processing (NLP) in Python
PyTorch Tutorial for Deep Learning Researchers
The most cited deep learning papers
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
π The fast, Pythonic way to build MCP servers and clients
State-of-the-Art Text Embeddings
π A curated list of resources dedicated to Natural Language Processing (NLP)
machine learning and deep learning tutorials, articles and other resources
Must-read papers on graph neural networks (GNN)
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
A curated list of deep learning resources for computer vision
π€ awesome-semantic-segmentation
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
A little word cloud generator in Python
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.β¦
Colour schemes for a variety of editors created by Dayle Rees.
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date β¦
all kinds of text classification models and more with deep learning