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Examples and guides for using the OpenAI API
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
A game theoretic approach to explain the output of any machine learning model.
A guidance language for controlling large language models.
Examples and guides for using the Gemini API
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Code for Tensorflow Machine Learning Cookbook
Efficient Image Captioning code in Torch, runs on GPU
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Automatic Generation of Visualizations and Infographics using Large Language Models
Massively parallel rigidbody physics simulation on accelerator hardware.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…
Hackers' Guide to Language Models
TensorFlow Tutorial for Time Series Prediction
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…
Slides and code from our TensorFlow workshop.
Restoring and attributing ancient texts using deep neural networks
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
UI interface for experimenting with multimodal (text, image) models (stable diffusion).
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Drift Detection for your PyTorch Models
Guided Evolutionary Strategies