Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
TensorFlow code and pre-trained models for BERT
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Federated query engine for AI - The only MCP Server you'll ever need
A toolkit for developing and comparing reinforcement learning algorithms.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyTorch Tutorial for Deep Learning Researchers
⚡ A Fast, Extensible Progress Bar for Python and CLI
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
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,…
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Minimal examples of data structures and algorithms in Python
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
State-of-the-Art Text Embeddings
PyTorch implementations of Generative Adversarial Networks.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Ongoing research training transformer models at scale
Python package built to ease deep learning on graph, on top of existing DL frameworks.