Stars
Awesome-LLM: a curated list of Large Language Model
📺 Discover the latest machine learning / AI courses on YouTube.
📓 Notes and summaries of various ML, Computer Vision & NLP papers.
Clean APIs for data cleaning. Python implementation of R package Janitor
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
A Python toolbox for performing gradient-free optimization
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Messenger Platform samples for sending and receiving messages. Walk through the Get Started with this code. https://developers.facebook.com/docs/messenger-platform/quickstart
Language-Agnostic SEntence Representations
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A faster pytorch implementation of faster r-cnn
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Sequence-to-Sequence Framework in PyTorch
ThunderSVM: A Fast SVM Library on GPUs and CPUs
A scikit-learn compatible neural network library that wraps PyTorch
A tutorial on the t-SNE learning algorithm
Awesome paper list with code about generative adversarial nets
It's a podcast akin to grabbing coffee with Creative AI researchers.
A little word cloud generator in Python
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Progressive Growing of GANs for Improved Quality, Stability, and Variation
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Open standard for machine learning interoperability