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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
The "Python Machine Learning (1st edition)" book code repository and info resource
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
TensorFlow Tutorials with YouTube Videos
A collection of pre-trained, state-of-the-art models in the ONNX format
A scikit-learn compatible neural network library that wraps PyTorch
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Probabilistic reasoning and statistical analysis in TensorFlow
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Datasets, tools, and benchmarks for representation learning of code.
Implementing a Neural Network from Scratch
Dense image captioning in Torch
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Code for the online course "Deployment of Machine Learning Models"
Python library for Multi-Armed Bandits
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Little More Advanced TensorFlow Implementations
lecture notes for cyberwizard workshops