Stars
😎 Awesome lists about all kinds of interesting topics
An opinionated list of awesome Python frameworks, libraries, software and resources.
An Open Source Machine Learning Framework for Everyone
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
A list of cool features of Git and GitHub.
📃 A list of practical projects that anyone can solve in any programming language.
Apache Spark - A unified analytics engine for large-scale data processing
A library for efficient similarity search and clustering of dense vectors.
A toolkit for developing and comparing reinforcement learning algorithms.
A curated list of engineering blogs
A curated list of awesome awesomeness
💫 Industrial-strength Natural Language Processing (NLP) in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Library for fast text representation and classification.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Awesome-LLM: a curated list of Large Language Model
Most commonly used git tips and tricks.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Open standard for machine learning interoperability